Chi Keong Goh

According to our database, Chi Keong Goh authored at least 72 papers between 2003 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Towards Automatic Blocking of Shapes using Evolutionary Algorithm.

Calvin Chi-Wan Lim, Xiaofeng Yin, Tianyou Zhang, Senthil Kumar Selvaraj, Yi Su, Chi-Keong Goh, Alejandro Moreno, Shahrokh Shahpar

Comput. Aided Des., 2020

2019

PolarViz: a discriminating visualization and visual analytics tool for high-dimensional data.

Yan Chao Wang, Qian Zhang, Feng Lin, Chi-Keong Goh, Hock Soon Seah

Vis. Comput., 2019

Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation.

Pengfei Wei, Yiping Ke, Chi Keong Goh

IEEE Trans. Neural Networks Learn. Syst., 2019

A General Domain Specific Feature Transfer Framework for Hybrid Domain Adaptation.

Pengfei Wei, Yiping Ke, Chi Keong Goh

IEEE Trans. Knowl. Data Eng., 2019

Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems.

Alan Tan Wei Min, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh

IEEE Trans. Evol. Comput., 2019

2018

A Novel Time Series-Histogram of Features (TS-HoF) Method for Prognostic Applications.

Pin Lim, Chi Keong Goh, Kay Chen Tan

IEEE Trans. Emerg. Top. Comput. Intell., 2018

Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks.

Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi-Keong Goh

Neural Process. Lett., 2018

Co-evolutionary multi-task learning for dynamic time series prediction.

Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh

Appl. Soft Comput., 2018

Automatic Blocking of Shapes Using Evolutionary Algorithm.

Chi-Wan Lim, Xiaofeng Yin, Tianyou Zhang, Yi Su, Chi-Keong Goh, Alejandro Moreno, Shahrokh Shahpar

Proceedings of the 27th International Meshing Roundtable, 2018

Data-Driven Fault Detection of Electrical Machine.

Zhao Xu, Jinwen Hu, Changhua Hu, Sivakumar Nadarajan, Chi-Keong Goh, Amit Gupta

Proceedings of the 15th International Conference on Control, 2018

A Constrained Deep Neural Network for Ordinal Regression.

Yanzhu Liu, Adams Wai-Kin Kong, Chi Keong Goh

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble.

Pin Lim, Chi Keong Goh, Kay Chen Tan, Partha Sarathi Dutta

IEEE Trans. Neural Networks Learn. Syst., 2017

Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning.

Pin Lim, Chi Keong Goh, Kay Chen Tan

IEEE Trans. Cybern., 2017

Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction.

Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh

Neurocomputing, 2017

Knowledge Transfer Through Machine Learning in Aircraft Design.

Alan Tan Wei Min, Ramón Sagarna, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh

IEEE Comput. Intell. Mag., 2017

Data-Driven Inter-Turn Short Circuit Fault Detection in Induction Machines.

Zhao Xu, Changhua Hu, Feng Yang, Shyh-Hao Kuo, Chi-Keong Goh, Amit Gupta, Sivakumar Nadarajan

IEEE Access, 2017

A fast sparse reconstruction approach for high resolution image-based object surface anomaly detection.

Woon Huei Chai, Shen-Shyang Ho, Chi-Keong Goh, Liang-Tien Chia, Hiok Chai Quek

Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

Deep Ordinal Regression Based on Data Relationship for Small Datasets.

Yanzhu Liu, Adams Wai-Kin Kong, Chi Keong Goh

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression.

Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong, Chi-Keong Goh

Proceedings of the 34th International Conference on Machine Learning, 2017

Domain Specific Feature Transfer for Hybrid Domain Adaptation.

Pengfei Wei, Yiping Ke, Chi-Keong Goh

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Histogram equalization and specification for high-dimensional data visualization using RadViz.

Yan-Chao Wang, Qian Zhang, Feng Lin, Chi-Keong Goh, Xuan Wang, Hock Soon Seah

Proceedings of the Computer Graphics International Conference, 2017

2016

Towards a new Praxis in optinformatics targeting knowledge re-use in evolutionary computation: simultaneous problem learning and optimization.

Dudy Lim, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh, Partha Sarathi Dutta

Evol. Intell., 2016

Learning from small data: A pairwise approach for ordinal regression.

Yanzhu Liu, Xiaojie Li, Adams Wai-Kin Kong, Chi Keong Goh

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A time window neural network based framework for Remaining Useful Life estimation.

Pin Lim, Chi Keong Goh, Kay Chen Tan

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation.

Pengfei Wei, Yiping Ke, Chi Keong Goh

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks.

Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Exploiting sparsity for image-based object surface anomaly detection.

Woon Huei Chai, Shen-Shyang Ho, Chi-Keong Goh

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Pareto rank learning for multi-objective bi-level optimization: A study in composites manufacturing.

Abhishek Gupta, Yew-Soon Ong, Piaras A. Kelly, Chi-Keong Goh

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

An Agent-based Simulation System for Dynamic Project Scheduling and Online Disruption Resolving.

Hui Xi, Chi Keong Goh, Partha Sarathi Dutta, Meng Sha, Jie Zhang

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014

An Efficient Co-processing Framework for Large-Scale Scientific Applications.

Rubing Duan, Rick Siow Mong Goh, Lily Rachmawati, Long Wang, Henry Novianus Palit, Xiaorong Li, Chi Keong Goh, Partha Sarathi Dutta, Leigh Lapworth, David Knott

Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

2012

Computational intelligence optimisation in the presence of uncertainties.

Chi Keong Goh, Ferrante Neri

Int. J. Syst. Sci., 2012

A data mining approach to evolutionary optimisation of noisy multi-objective problems.

Jun Yong Chia, Chi Keong Goh, Vui Ann Shim, Kay Chen Tan

Int. J. Syst. Sci., 2012

2011

Memetic informed evolutionary optimization via data mining.

Jun Yong Chia, Chi Keong Goh, Kay Chen Tan, Vui Ann Shim

Memetic Comput., 2011

A surrogate-assisted memetic co-evolutionary algorithm for expensive constrained optimization problems.

Chi Keong Goh, Dudy Lim, Learning Ma, Yew-Soon Ong, Partha Sarathi Dutta

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment.

Wee Tat Koo, Chi Keong Goh, Kay Chen Tan

Memetic Comput., 2010

An investigation on noise-induced features in robust evolutionary multi-objective optimization.

Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong

Expert Syst. Appl., 2010

A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design.

Chi Keong Goh, Kay Chen Tan, D. S. Liu, Swee Chiang Chiam

Eur. J. Oper. Res., 2010

2009

Evolutionary Multi-objective Optimization in Uncertain Environments - Issues and Algorithms

Chi Keong Goh, Kay Chen Tan

Studies in Computational Intelligence 186, Springer, ISBN: 978-3-540-95975-5, 2009

Evolution and Incremental Learning in the Iterated Prisoner's Dilemma.

Hanyang Quek, Kay Chen Tan, Chi Keong Goh, Hussein A. Abbass

IEEE Trans. Evol. Comput., 2009

A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization.

Chi Keong Goh, Kay Chen Tan

IEEE Trans. Evol. Comput., 2009

A hybrid evolutionary approach for heterogeneous multiprocessor scheduling.

Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan

Soft Comput., 2009

Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization.

Kay Chen Tan, Swee Chiang Chiam, Abdullah Al Mamun, Chi Keong Goh

Eur. J. Oper. Res., 2009

2008

Improving Locality in Binary Representation via Redundancy.

Swee Chiang Chiam, Kay Chen Tan, Chi Keong Goh, Abdullah Al Mamun

IEEE Trans. Syst. Man Cybern. Part B, 2008

Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks.

Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan

IEEE Trans. Neural Networks, 2008

An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem.

Eu Jin Teoh, Kay Chen Tan, Huajin Tang, Cheng Xiang, Chi Keong Goh

Neurocomputing, 2008

An evolutionary artificial immune system for multi-objective optimization.

Kay Chen Tan, Chi Keong Goh, Abdullah Al Mamun, E. Z. Ei

Eur. J. Oper. Res., 2008

On solving multiobjective bin packing problems using evolutionary particle swarm optimization.

D. S. Liu, Kay Chen Tan, S. Y. Huang, Chi Keong Goh, Weng Khuen Ho

Eur. J. Oper. Res., 2008

Handling Uncertainties in Evolutionary Multi-Objective Optimization.

Kay Chen Tan, Chi Keong Goh

Proceedings of the Computational Intelligence: Research Frontiers, 2008

Memetic Gradient Search.

Boyang Li, Yew-Soon Ong, Minh Nghia Le, Chi Keong Goh

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

An investigation on evolutionary gradient search for multi-objective optimization.

Chi Keong Goh, Yew-Soon Ong, Kay Chen Tan, Eu Jin Teoh

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

Evolving the Tradeoffs between Pareto-Optimality and Robustness in Multi-Objective Evolutionary Algorithms.

Chi Keong Goh, Kay Chen Tan

Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

A Multi-Objective Evolutionary Algorithm for Channel Routing Problems.

Chi Keong Goh, Wei Ling Lim, Yong Han Chew, Kay Chen Tan

Proceedings of the Evolutionary Scheduling, 2007

Designing a Recurrent Neural Network-based Controller for Gyro-Mirror Line-of-Sight Stabilization System using an Artificial Immune Algorithm.

Ji Hua Ang, Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan

Proceedings of the Advances in Evolutionary Computing for System Design, 2007

A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization.

Dasheng Liu, Kay Chen Tan, Chi Keong Goh, Weng Khuen Ho

IEEE Trans. Syst. Man Cybern. Part B, 2007

An Investigation on Noisy Environments in Evolutionary Multiobjective Optimization.

Chi Keong Goh, Kay Chen Tan

IEEE Trans. Evol. Comput., 2007

Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation.

Kay Chen Tan, Chun Yew Cheong, Chi Keong Goh

Eur. J. Oper. Res., 2007

Eliminating Positional Dependency in Binary Representation via Redundancy.

Chun Yew Cheong, Swee Chiang Chiam, Chi Keong Goh

Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer.

Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan

Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

Adaptation of Iterated Prisoner's Dilemma Strategies by Evolution and Learning.

Hanyang Quek, Chi Keong Goh

Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, 2007

A cooperative coevolutionary algorithm for multiobjective particle swarm optimization.

C. H. Tan, Chi Keong Goh, Kay Chen Tan, Arthur Tay

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Noise-induced features in robust multi-objective optimization problems.

Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Multi-objective evolutionary Recurrent Neural Networks for system identification.

Ji Hua Ang, Chi Keong Goh, Eu Jin Teoh, Abdullah Al Mamun

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A Competitive-Cooperation Coevolutionary Paradigm for Multi-objective Optimization.

Chi Keong Goh, Kay Chen Tan, Arthur Tay

Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007

2006

A distributed Cooperative coevolutionary algorithm for multiobjective optimization.

Kay Chen Tan, Y. J. Yang, Chi Keong Goh

IEEE Trans. Evol. Comput., 2006

Evolving better population distribution and exploration in evolutionary multi-objective optimization.

Kay Chen Tan, Chi Keong Goh, Y. J. Yang, Tong Heng Lee

Eur. J. Oper. Res., 2006

On Solving Multiobjective Bin Packing Problems Using Particle Swarm Optimization.

Dasheng Liu, Kay Chen Tan, Chi Keong Goh, Weng Khuen Ho

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Noise Handling in Evolutionary Multi-Objective Optimization.

Chi Keong Goh, Kay Chen Tan

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Modeling Civil Violence: An Evolutionary Multi-Agent, Game Theoretic Approach.

Chi Keong Goh, Hanyang Quek, Kay Chen Tan, Hussein A. Abbass

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

A Study on Distribution Preservation Mechanism in Evolutionary Multi-Objective Optimization.

Eik Fun Khor, Kay Chen Tan, Tong Heng Lee, Chi Keong Goh

Artif. Intell. Rev., 2005

Adapting evolutionary dynamics of variation for multi-objective optimization.

Eu Jin Teoh, Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Evolution and incremental learning in the iterative prisoner's dilemma.

Chi Keong Goh, Hanyang Quek, Eu Jin Teoh, Kay Chen Tan

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2003

Enhanced distribution and exploration for multiobjective evolutionary algorithms.

Kay Chen Tan, Y. J. Yang, Chi Keong Goh, Tong Heng Lee

Proceedings of the IEEE Congress on Evolutionary Computation, 2003