Yew-Soon Ong
Orcid: 0000-0002-4480-169XAffiliations:
- Nanyang Technological University, Singapore
- University of Southampton, UK (PhD 2003)
According to our database1,
Yew-Soon Ong
authored at least 447 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2018, "For contributions to memetic computation and applications".
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on zbmath.org
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on scopus.com
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on orcid.org
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on ntu.edu.sg
On csauthors.net:
Bibliography
2024
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Fuzzy Attention-Based Border Rendering Orthogonal Network for Lung Organ Segmentation.
IEEE Trans. Fuzzy Syst., October, 2024
Guest Editorial Special Issue on Resource Sustainable Computational and Artificial Intelligence.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2024
Trans. Recomm. Syst., September, 2024
IEEE Trans. Evol. Comput., April, 2024
IEEE Trans. Artif. Intell., March, 2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Who Wants to Shop With You: Joint Product-Participant Recommendation for Group-Buying Service.
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Scaling Multiobjective Evolution to Large Data With Minions: A Bayes-Informed Multitask Approach.
IEEE Trans. Cybern., February, 2024
ACM Trans. Inf. Syst., January, 2024
A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals.
ACM Trans. Inf. Syst., January, 2024
Trans. Mach. Learn. Res., 2024
IEEE Trans. Inf. Forensics Secur., 2024
Eng. Appl. Artif. Intell., 2024
Hybrid Memetic Search for Electric Vehicle Routing with Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges.
CoRR, 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning.
CoRR, 2024
ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference.
CoRR, 2024
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning.
CoRR, 2024
Learning Structurally Stabilized Representations for Multi-modal Lossless DNA Storage.
CoRR, 2024
CoRR, 2024
Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model.
CoRR, 2024
Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation.
CoRR, 2024
SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs.
CoRR, 2024
CoRR, 2024
Human-Generative AI Collaborative Problem Solving Who Leads and How Students Perceive the Interactions.
CoRR, 2024
Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Virtual Co-Pilot: Multimodal Large Language Model-enabled Quick-access Procedures for Single Pilot Operations.
CoRR, 2024
LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries.
CoRR, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Finding Sets of Pareto Sets in Real-World Scenarios - A Multitask Multiobjective Perspective.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023
IEEE Trans. Syst. Man Cybern. Syst., October, 2023
IEEE Trans. Cybern., October, 2023
IEEE Trans. Cybern., October, 2023
IEEE Trans. Neural Networks Learn. Syst., September, 2023
IEEE Trans. Cogn. Dev. Syst., September, 2023
Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained Models.
IEEE Comput. Intell. Mag., August, 2023
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023
Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification.
IEEE Trans. Knowl. Data Eng., June, 2023
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article].
IEEE Comput. Intell. Mag., May, 2023
Pattern Recognit., April, 2023
IEEE Trans. Cybern., March, 2023
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems.
IEEE Trans. Artif. Intell., February, 2023
Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization.
IEEE Trans. Cybern., 2023
IEEE Internet Things J., 2023
PR-NeuS: A Prior-based Residual Learning Paradigm for Fast Multi-view Neural Surface Reconstruction.
CoRR, 2023
CoRR, 2023
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation.
CoRR, 2023
Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization.
CoRR, 2023
Data-Driven Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications.
CoRR, 2023
Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search.
CoRR, 2023
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Knowl. Data Eng., 2022
Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Evol. Comput., 2022
Indicator-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2022
IEEE Trans. Evol. Comput., 2022
Frame-Correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies.
IEEE Trans. Cybern., 2022
Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods.
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence.
IEEE Trans. Cybern., 2022
IEEE Trans. Circuits Syst. Video Technol., 2022
Int. J. Neural Syst., 2022
Int. J. Comput. Vis., 2022
JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results.
CoRR, 2022
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning.
CoRR, 2022
A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals.
CoRR, 2022
Jacobian Granger Causal Neural Networks for Analysis of Stationary and Nonstationary Data.
CoRR, 2022
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges.
CoRR, 2022
Jack and Masters of All Trades: One-Pass Learning of a Set of Model Sets from Foundation Models.
CoRR, 2022
CoRR, 2022
IEEE Comput. Intell. Mag., 2022
Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Recovering Accuracy of RRAM-based CIM for Binarized Neural Network via Chip-in-the-loop Training.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
0.08mm<sup>2</sup> 128nW MFCC Engine for Ultra-low Power, Always-on Smart Sensing Applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
A multifactorial differential evolution with hybrid global and local search strategies.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
An Initial Investigation of Data-Lean Transfer Evolutionary Optimization with Probabilistic Priors.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
Evolutionary Multiagent Transfer Learning With Model-Based Opponent Behavior Prediction.
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding.
IEEE Trans. Evol. Comput., 2021
A Collaborative Multiagent Reinforcement Learning Method Based on Policy Gradient Potential.
IEEE Trans. Cybern., 2021
Handling Constrained Many-Objective Optimization Problems via Problem Transformation.
IEEE Trans. Cybern., 2021
IEEE Trans. Cybern., 2021
IEEE Trans Autom. Sci. Eng., 2021
Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies.
IEEE Trans. Cogn. Dev. Syst., 2021
Pattern Recognit., 2021
Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization.
Inf. Sci., 2021
CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method.
CoRR, 2021
Cogn. Comput., 2021
IEEE Comput. Intell. Mag., 2021
Solution Representation Learning in Multi-Objective Transfer Evolutionary Optimization.
IEEE Access, 2021
Proceedings of the 29th IFIP/IEEE International Conference on Very Large Scale Integration, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
An Energy-Efficient Convolution Unit for Depthwise Separable Convolutional Neural Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021
2020
IEEE Trans. Syst. Man Cybern. Syst., 2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications.
IEEE Trans. Neural Networks Learn. Syst., 2020
Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II.
IEEE Trans. Evol. Comput., 2020
IEEE Trans. Cybern., 2020
What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules.
J. Ambient Intell. Humaniz. Comput., 2020
Eng. Appl. Artif. Intell., 2020
Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning.
CoRR, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
IEEE Trans. Emerg. Top. Comput. Intell., 2019
A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries.
IEEE Trans. Evol. Comput., 2019
IEEE Trans. Evol. Comput., 2019
Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems.
IEEE Trans. Evol. Comput., 2019
IEEE Trans. Evol. Comput., 2019
Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates.
IEEE Trans. Cybern., 2019
Fisher Information Matrix of Unipolar Activation Function-Based Multilayer Perceptrons.
IEEE Trans. Cybern., 2019
IEEE Trans. Cybern., 2019
Soft Comput., 2019
Compressed representation for higher-level meme space evolution: a case study on big knapsack problems.
Memetic Comput., 2019
Knowl. Based Syst., 2019
Knowl. Based Syst., 2019
Poison as a Cure: Detecting & Neutralizing Variable-Sized Backdoor Attacks in Deep Neural Networks.
CoRR, 2019
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy.
CoRR, 2019
Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods.
CoRR, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
The Blessing of Dimensionality in Many-Objective Search: An Inverse Machine Learning Insight.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
IEEE Trans. Syst. Man Cybern. Syst., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Emerg. Top. Comput. Intell., 2018
Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis.
IEEE Trans. Evol. Comput., 2018
Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks.
Neural Process. Lett., 2018
Addressing expensive multi-objective games with postponed preference articulation via memetic co-evolution.
Knowl. Based Syst., 2018
Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method.
Eng. Appl. Artif. Intell., 2018
Towards Safer Smart Contracts: A Sequence Learning Approach to Detecting Vulnerabilities.
CoRR, 2018
Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams.
CoRR, 2018
CoRR, 2018
Appl. Soft Comput., 2018
Appl. Soft Comput., 2018
IEEE Access, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
A Preliminary Study of Adaptive Indicator Based Evolutionary Algorithm for Dynamic Multiobjective Optimization via Autoencoding.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Emerg. Top. Comput. Intell., 2017
IEEE Trans. Evol. Comput., 2017
IEEE Trans. Evol. Comput., 2017
IEEE Trans. Evol. Comput., 2017
IEEE Trans. Cybern., 2017
Multidimens. Syst. Signal Process., 2017
Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction.
Neurocomputing, 2017
A generic framework for multi-criteria decision support in eco-friendly urban logistics systems.
Expert Syst. Appl., 2017
Coevolutionary multitasking for concurrent global optimization: With case studies in complex engineering design.
Eng. Appl. Artif. Intell., 2017
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results.
CoRR, 2017
Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results.
CoRR, 2017
IEEE Comput. Intell. Mag., 2017
IEEE Comput. Intell. Mag., 2017
An adaptive sampling approach for Kriging metamodeling by maximizing expected prediction error.
Comput. Chem. Eng., 2017
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression.
Proceedings of the 34th International Conference on Machine Learning, 2017
MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Solving dynamic vehicle routing problem via evolutionary search with learning capability.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
On the Emerging Notion of Evolutionary Multitasking: A Computational Analog of Cognitive Multitasking.
Proceedings of the Recent Advances in Evolutionary Multi-objective Optimization, 2017
2016
IEEE Trans. Intell. Transp. Syst., 2016
IEEE Trans. Evol. Comput., 2016
IEEE Trans. Comput. Intell. AI Games, 2016
Conceptual modeling of evolvable local searches in memetic algorithms using linear genetic programming: a case study on capacitated vehicle routing problem.
Soft Comput., 2016
IEEE Trans. Pattern Anal. Mach. Intell., 2016
Knowl. Based Syst., 2016
Towards a new Praxis in optinformatics targeting knowledge re-use in evolutionary computation: simultaneous problem learning and optimization.
Evol. Intell., 2016
Cogn. Comput., 2016
Dynamic conditional value-at-risk model for routing and scheduling of hazardous material transportation networks.
Ann. Oper. Res., 2016
Three-Dimensional Vehicle Routing Problem for Urban Last Mile Logistics: Problem Formulation and Computational Analysis.
Proceedings of the UKSim-AMSS 18th International Conference on Computer Modelling and Simulation, 2016
Evolutionary multitasking in combinatorial search spaces: A case study in capacitated vehicle routing problem.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Concurrently searching branches in software tests generation through multitask evolution.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Genetic transfer or population diversification? Deciphering the secret ingredients of evolutionary multitask optimization.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 2016 Eighth International Conference on Knowledge and Systems Engineering, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
A preliminary study on distance selection in probabilistic memetic framework for capacitated arc routing problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Adaptive indicator-based evolutionary algorithm for multiobjective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Application of route flexibility in data-starved vehicle routing problem with time windows.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Pareto rank learning for multi-objective bi-level optimization: A study in composites manufacturing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Evolutionary multitasking across single and multi-objective formulations for improved problem solving.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016
Proceedings of the Artificial Life and Computational Intelligence, 2016
2015
IEEE Trans. Intell. Transp. Syst., 2015
IEEE Trans. Evol. Comput., 2015
IEEE Trans. Cybern., 2015
Signal Process., 2015
Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems.
Memetic Comput., 2015
Adaptive and scalable load balancing for metadata server cluster in cloud-scale file systems.
Frontiers Comput. Sci., 2015
Proceedings of the Sixth International Symposium on Information and Communication Technology, 2015
Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015
Solving multi-vehicle profitable tour problem via knowledge adoption in evolutionary bi-level programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
An evolutionary algorithm with adaptive scalarization for multiobjective bilevel programs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization.
IEEE Trans. Cybern., 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
A pheromone-based traffic management model for vehicle re-routing and traffic light control.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014
2013
IEEE Trans. Cybern., 2013
Neural Comput. Appl., 2013
Discovering Unique, Low-Energy Transition States Using Evolutionary Molecular Memetic Computing.
IEEE Comput. Intell. Mag., 2013
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the IEEE International Conference on Systems, 2013
Agent-Based Modeling and Simulation for Supply Chain Risk Management - A Survey of the State-of-the-Art.
Proceedings of the IEEE International Conference on Systems, 2013
Near-optimal packet allocation algorithm for content uploading to media cloud via collaborative wireless network.
Proceedings of the International Conference on Computing, Networking and Communications, 2013
Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence, 2013
Multi-agent multi-issue negotiations with incomplete information: A Genetic Algorithm based on discrete surrogate approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
A study on like-attracts-like versus elitist selection criterion for human-like social behavior of memetic mulitagent systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013
2012
IEEE Trans. Syst. Man Cybern. Part C, 2012
Erratum to "QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization".
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Inf. Sci., 2012
A self-adaptive memeplexes robust search scheme for solving stochastic demands vehicle routing problem.
Int. J. Syst. Sci., 2012
A tree-structured covalent-bond-driven molecular memetic algorithm for optimization of ring-deficient molecules.
Comput. Math. Appl., 2012
A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design.
IEEE Comput. Intell. Mag., 2012
FAME, Soft Flock Formation Control for Collective Behavior Studies and Rapid Games Development.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Experiences on memetic computation for locating transition states in biochemical applications.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012
2011
Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study.
Int. J. Comput. Biol. Drug Des., 2011
A hybrid agent architecture integrating desire, intention and reinforcement learning.
Expert Syst. Appl., 2011
Neural meta-memes framework for managing search algorithms in combinatorial optimization.
Proceedings of the 2011 IEEE Workshop on Memetic Computing, 2011
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
Proceedings of the Seventh International Conference on Natural Computation, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Classification-assisted memetic algorithms for solving optimization problems with restricted equality constraint function mapping.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
A surrogate-assisted memetic co-evolutionary algorithm for expensive constrained optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011
2010
Discovering Unique, Low-Energy Pure Water Isomers: Memetic Exploration, Optimization, and Landscape Analysis.
IEEE Trans. Evol. Comput., 2010
IEEE Trans. Evol. Comput., 2010
Feasibility Structure Modeling: An Effective Chaperone for Constrained Memetic Algorithms.
IEEE Trans. Evol. Comput., 2010
IEEE ACM Trans. Comput. Biol. Bioinform., 2010
A self-organizing neural architecture integrating desire, intention and reinforcement learning.
Neurocomputing, 2010
An investigation on noise-induced features in robust evolutionary multi-objective optimization.
Expert Syst. Appl., 2010
IEEE Comput. Intell. Mag., 2010
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the Motion in Games - Third International Conference, 2010
Proceedings of the 2010 International Conference on CyberWorlds, 2010
Classifier-assisted constrained evolutionary optimization for automated geometry selection of orthodontic retraction spring.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Towards probabilistic memetic algorithm: An initial study on capacitated arc routing problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Clustering-based methodology with minimal user supervision for displaying cell-phenotype signatures in image-based screening.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010
2009
Soft Comput., 2009
Memetic Comput., 2009
Memetic Comput., 2009
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Finding multiple first order saddle points using a valley adaptive clearing genetic algorithm.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2009
Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009
2008
IEEE Trans. Syst. Man Cybern. Part A, 2008
Neurocomputing, 2008
Hybrid evolutionary algorithm with Hermite radial basis function interpolants for computationally expensive adjoint solvers.
Comput. Optim. Appl., 2008
Proceedings of the IEEE International Conference on Systems, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008
A Multi-Objective Memetic Algorithm Based Clustering Method.
Proceedings of the 2008 International Conference on Artificial Intelligence, 2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Automatic configuration of metaheuristic algorithms for complex combinatorial optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007
Proceedings of the Evolutionary Scheduling, 2007
IEEE Trans. Syst. Man Cybern. Part B, 2007
IEEE Trans. Syst. Man Cybern. Part C, 2007
IEEE ACM Trans. Comput. Biol. Bioinform., 2007
Memetic algorithm using multi-surrogates for computationally expensive optimization problems.
Soft Comput., 2007
Diversity-adaptive parallel memetic algorithm for solving large scale combinatorial optimization problems.
Soft Comput., 2007
Pattern Recognit., 2007
Future Gener. Comput. Syst., 2007
Proceedings of the Advances in Neural Networks, 2007
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Playing in the Objective Space: Coupled Approximators for Multi-Objective Optimization.
Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007
Hierarchical model parallel memetic algorithm in heterogeneous computing environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2007), 2007
2006
IEEE Trans. Syst. Man Cybern. Part B, 2006
IEEE Trans. Evol. Comput., 2006
IEEE Geosci. Remote. Sens. Lett., 2006
Editorial to special issue on evolutionary computation in dynamic and uncertain environments.
Genet. Program. Evolvable Mach., 2006
Genet. Program. Evolvable Mach., 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Ninth International Conference on Control, 2006
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006), 2006
2005
A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization.
Proceedings of the Advances in Natural Computation, First International Conference, 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005
A study on polynomial regression and Gaussian process global surrogate model in hierarchical surrogate-assisted evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
Proceedings of the 5th International Symposium on Cluster Computing and the Grid (CCGrid 2005), 2005
2004
Aust. J. Intell. Inf. Process. Syst., 2004
Proceedings of the Parallel and Distributed Computing: Applications and Technologies, 2004
Study of migration topology in island model parallel hybrid-GA for large scale quadratic assignment problems.
Proceedings of the 8th International Conference on Control, 2004
A service-oriented approach for aerodynamic shape optimisation across institutional boundaries.
Proceedings of the 8th International Conference on Control, 2004
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data.
Proceedings of the Second Asia-Pacific Bioinformatics Conference (APBC 2004), 2004
2003
Proceedings of the IEEE International Conference on Systems, 2003
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003
Global convergence of unconstrained and bound constrained surrogate-assisted evolutionary search in aerodynamic shape design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
2002