Thomas Weise

Orcid: 0000-0002-9687-8509

Affiliations:
  • Hefei University, Institute of Applied Optimization, China
  • University of Science and Technology of China, Hefei, China (former)
  • University of Kassel, Germany (PhD 2009)


According to our database1, Thomas Weise authored at least 121 papers between 2005 and 2024.

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Bibliography

2024
Addressing the traveling salesperson problem with frequency fitness assignment and hybrid algorithms.
Soft Comput., September, 2024

SelfGCN: Graph Convolution Network With Self-Attention for Skeleton-Based Action Recognition.
IEEE Trans. Image Process., 2024

Entropy, Search Trajectories, and Explainability for Frequency Fitness Assignment.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Randomized Local Search for Two-Dimensional Bin Packing and a Negative Result for Frequency Fitness Assignment.
Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024

Randomized Local Search vs. NSGA-II vs. Frequency Fitness Assignment on The Traveling Tournament Problem.
Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024

Generating Small Instances with Interesting Features for the Traveling Salesperson Problem.
Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024

Frequency Fitness Assignment: Optimization Without Bias for Good Solution Outperforms Randomized Local Search on the Quadratic Assignment Problem.
Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024

The Traveling Tournament Problem: Rows-First versus Columns-First.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

Randomized Local Search on the 2D Rectangular Bin Packing Problem with Item Rotation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
Robust optimization for minimizing energy consumption of multicast transmissions in coded wireless packet networks under distance uncertainty.
J. Comb. Optim., August, 2023

Adaptive Local Cross-Channel Vector Pooling Attention Module for Semantic Segmentation of Remote Sensing Imagery.
Remote. Sens., April, 2023

Frequency Fitness Assignment: Optimization Without Bias for Good Solutions Can Be Efficient.
IEEE Trans. Evol. Comput., 2023

Replicable Self-Documenting Experiments with Arbitrary Search Spaces and Algorithms.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
LightFGCNet: A Lightweight and Focusing on Global Context Information Semantic Segmentation Network for Remote Sensing Imagery.
Remote. Sens., December, 2022

A novel approach to subgraph selection with multiple weights on arcs.
J. Comb. Optim., 2022

Hierarchical fusion and divergent activation based weakly supervised learning for object detection from remote sensing images.
Inf. Fusion, 2022

Distance regularization energy terms in level set image segment model: A survey.
Neurocomputing, 2022

Solving the Traveling Salesperson Problem using Frequency Fitness Assignment.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Chemical Safety Sign Detection: A Survey and Benchmark.
Proceedings of the International Joint Conference on Neural Networks, 2022

Detection of Personal Protective Equipment in Factories: A Survey and Benchmark Dataset.
Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022

2021
Frequency Fitness Assignment: Making Optimization Algorithms Invariant Under Bijective Transformations of the Objective Function Value.
IEEE Trans. Evol. Comput., 2021

Semi-supervised multi-Layer convolution kernel learning in credit evaluation.
Pattern Recognit., 2021

Rotation-aware representation learning for remote sensing image retrieval.
Inf. Sci., 2021

A survey on regional level set image segmentation models based on the energy functional similarity measure.
Neurocomputing, 2021

Hierarchical object detection for very high-resolution satellite images.
Appl. Soft Comput., 2021

Solving job shop scheduling problems without using a bias for good solutions.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Benchmarking in Optimization: Best Practice and Open Issues.
CoRR, 2020

Skeleton Based Action Recognition using a Stacked Denoising Autoencoder with Constraints of Privileged Information.
CoRR, 2020

Frequency Fitness Assignment: Making Optimization Algorithms Invariant under Bijective Transformations of the Objective Function.
CoRR, 2020

Special Issue on Benchmarking of Computational Intelligence Algorithms in the Applied Soft Computing Journal.
Appl. Soft Comput., 2020

Selecting a diverse set of benchmark instances from a tunable model problem for black-box discrete optimization algorithms.
Appl. Soft Comput., 2020

Convolutional Neural Network Based Weakly Supervised Learning for Aircraft Detection From Remote Sensing Image.
IEEE Access, 2020

Image Retrieval Using a Deep Attention-Based Hash.
IEEE Access, 2020

2019
Implementation issues in optimization algorithms: do they matter?
J. Exp. Theor. Artif. Intell., 2019

A Branch-and-Bound-Based Crossover Operator for the Traveling Salesman Problem.
Int. J. Cogn. Informatics Nat. Intell., 2019

Energy-Efficient Load Balancing Ant Based Routing Algorithm for Wireless Sensor Networks.
IEEE Access, 2019

An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Intrusion Detection System Using Convolutional Neuronal Networks: A Cognitive Computing Approach for Anomaly Detection based on Deep Learning.
Proceedings of the 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2019

2018
An Improved Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search.
CoRR, 2018

Automatically discovering clusters of algorithm and problem instance behaviors as well as their causes from experimental data, algorithm setups, and instance features.
Appl. Soft Comput., 2018


Optimization algorithm behavior modeling: A study on the traveling salesman problem.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

A generic problem instance generator for discrete optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Difficult features of combinatorial optimization problems and the tunable <i>w-model</i> benchmark problem for simulating them.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Modeling optimization algorithm runtime behavior and its applications.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Combining two local searches with crossover: an efficient hybrid algorithm for the traveling salesman problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

From standardized data formats to standardized tools for optimization algorithm benchmarking.
Proceedings of the 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2017

2016
Global versus local search: the impact of population sizes on evolutionary algorithm performance.
J. Glob. Optim., 2016

GPGPU-Based Parallel Algorithms for Scheduling Against Due Date.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Hybridizing Different Local Search Algorithms with Each Other and Evolutionary Computation: Better Performance on the Traveling Salesman Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Tackling Common Due Window Problem with a Two-Layered Approach.
Proceedings of the Combinatorial Optimization and Applications, 2016

2015
An alternative way of presenting statistical test results when evaluating the performance of stochastic approaches.
Neurocomputing, 2015

An efficient local search heuristic with row weighting for the unicost set covering problem.
Eur. J. Oper. Res., 2015

Hybrid PACO with Enhanced Pheromone Initialization for Solving the Vehicle Routing Problem with Time Windows.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

An Investigation of Hybrid Tabu Search for the Traveling Salesman Problem.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015

Hybrid Ejection Chain Methods for the Traveling Salesman Problem.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015

Local search for the Traveling Salesman Problem: A comparative study.
Proceedings of the 14th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2015

2014
A New Memetic Algorithm With Fitness Approximation for the Defect-Tolerant Logic Mapping in Crossbar-Based Nanoarchitectures.
IEEE Trans. Evol. Comput., 2014

Frequency Fitness Assignment.
IEEE Trans. Evol. Comput., 2014

Multiobjective genetic programming for maximizing ROC performance.
Neurocomputing, 2014

Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem.
IEEE Comput. Intell. Mag., 2014

Improve the 3-flip Neighborhood Local Search by Random Flat Move for the Set Covering Problem.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014

Comparing a hybrid branch and bound algorithm with evolutionary computation methods, local search and their hybrids on the TSP.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, 2014

Common Due-Window problem: Polynomial algorithms for a given processing sequence.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, 2014

Fitness level based adaptive operator selection for cutting stock problems with contiguity.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Evolving exact integer algorithms with Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A weighting-based local search heuristic algorithm for the Set Covering Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Semantic Web Service Composition: The Web Service Challenge Perspective.
Proceedings of the Web Services Foundations, 2014

2013
Two-stage ensemble memetic algorithm: Function optimization and digital IIR filter design.
Inf. Sci., 2013

Fixed-point digital IIR filter design using two-stage ensemble evolutionary algorithm.
Appl. Soft Comput., 2013

An Initialized ACO for the VRPTW.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

SDGP: A developmental approach for traveling salesman problems.
Proceedings of the IEEE Symposium on Computational Intelligence In Production And Logistics Systems, 2013

GPU-accelerated eXtended Classifier System.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012
Evolving Distributed Algorithms With Genetic Programming.
IEEE Trans. Evol. Comput., 2012

Evolutionary Optimization: Pitfalls and Booby Traps.
J. Comput. Sci. Technol., 2012

A Study on Scalable Representations for Evolutionary Optimization of Ground Structures.
Evol. Comput., 2012

A developmental solution to (dynamic) capacitated arc routing problems using genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Evolutionary Optimization.
Proceedings of the Variants of Evolutionary Algorithms for Real-World Applications, 2012

Overview of theWeb Services Challenge (WSC): Discovery and Composition of SemanticWeb Services.
Proceedings of the Semantic Web Services, Advancement through Evaluation, 2012

2011
Self-adaptive learning based particle swarm optimization.
Inf. Sci., 2011

A Novel Extremal Optimization Approach for the Template Design Problem.
Int. J. Organ. Collect. Intell., 2011

Perspectives on the Field of Cognitive Informatics and its Future Development.
Int. J. Cogn. Informatics Nat. Intell., 2011

Novel evolutionary algorithms for supervised classification problems: an experimental study.
Evol. Intell., 2011

Special issue on modern search heuristics and applications.
Evol. Intell., 2011

Margin-Based Over-Sampling Method for Learning from Imbalanced Datasets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

A Framework for Multi-model EDAs with Model Recombination.
Proceedings of the Applications of Evolutionary Computation, 2011

Novel Loop Structures and the Evolution of Mathematical Algorithms.
Proceedings of the Genetic Programming - 14th European Conference, 2011

2010
Estimation of distribution and differential evolution cooperation for large scale economic load dispatch optimization of power systems.
Inf. Sci., 2010

QoS-aware semantic web service composition for SOAs.
Proceedings of the IEEE International Conference on Service-Oriented Computing and Applications, 2010

WSC-2010: Web services composition and evaluation.
Proceedings of the IEEE International Conference on Service-Oriented Computing and Applications, 2010

Large-Scale Global Optimization Using Cooperative Coevolution with Variable Interaction Learning.
Proceedings of the Parallel Problem Solving from Nature, 2010

AOAB: automated optimization algorithm benchmarking.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Evolutionary data mining approaches for rule-based and tree-based classifiers.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

Perspectives on cognitive informatics and its future development: Summary of plenary panel II of IEEE ICCI'10.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

Using GP to evolve decision rules for classification in financial data sets.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

Evolutionary Approaches and Their Applications to Distributed Systems.
Proceedings of the Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications, 2010

2009
Why Is Optimization Difficult?.
Proceedings of the Nature-Inspired Algorithms for Optimisation, 2009

Solving Real-World Vehicle Routing Problems with Evolutionary Algorithms.
Proceedings of the Natural Intelligence for Scheduling, Planning and Packing Problems, 2009

Evolving distributed algorithms with genetic programming.
PhD thesis, 2009

Combining Genetic Programming and Model-Driven Development.
Int. J. Comput. Intell. Appl., 2009

Intelligente Wechselbrückensteuerung für die Logistik von Morgen.
Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2009

The Web Service Challenge - A review on Semantic Web Service Composition.
Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2009

WSC-2009: A Quality of Service-Oriented Web Services Challenge.
Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing, 2009

Template Design Using Extremal Optimization with Multiple Search Operators.
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009

Evolving distributed algorithms with genetic programming: election.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

Evolutionary Freight Transportation Planning.
Proceedings of the Applications of Evolutionary Computing, 2009

A Flexible Approach for Business Processes Monitoring.
Proceedings of the Distributed Applications and Interoperable Systems, 2009

2008
Semantic Web Service Composition for Service-Oriented Architectures.
Proceedings of the 10th IEEE International Conference on E-Commerce Technology (CEC 2008) / 5th IEEE International Conference on Enterprise Computing, 2008

WSC-08: Continuing the Web Services Challenge.
Proceedings of the 10th IEEE International Conference on E-Commerce Technology (CEC 2008) / 5th IEEE International Conference on Enterprise Computing, 2008

Can Solutions Emerge?
Proceedings of the Self-Organizing Systems, Third International Workshop, 2008

Geminga: Service Discovery for Mobile Robotics.
Proceedings of the 3rd International Conference on Systems and Networks Communications, 2008

Different Approaches to Semantic Web Service Composition.
Proceedings of the Third International Conference on Internet and Web Applications and Services, 2008

A tunable model for multi-objective, epistatic, rugged, and neutral fitness landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Evolving Proactive Aggregation Protocols.
Proceedings of the Genetic Programming, 11th European Conference, 2008

2007
Making a Fast Semantic Service Composition System Faster.
Proceedings of the 9th IEEE International Conference on E-Commerce Technology (CEC 2007) / 4th IEEE International Conference on Enterprise Computing, 2007

Genetic Programming for Proactive Aggregation Protocols.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Genetic Programming meets Model-Driven Development.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

Rule-based Genetic Programming.
Proceedings of the 2nd International ICST Conference on Bio-Inspired Models of Network, 2007

2006
An ontology for quality-aware service discovery.
Comput. Syst. Sci. Eng., 2006

Large-Scale Service Composition in Semantic Service Discovery.
Proceedings of the Eighth IEEE International Conference on E-Commerce Technology (CEC 2006) / Third IEEE International Conference on Enterprise Computing, 2006

2005
Ein plattformunabhängiger XML-Editor für die Erstellung und Verwaltung von E-Learning-Inhalten.
Proceedings of the Workshop Proceedings DeLFI 2005 und GMW05, 2005


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