Piotr Jedrzejowicz

Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024

Collective Computational Intelligence Challenges and Opportunities.

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Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024

2023

An Approach for Mining Imbalanced Datasets Combining Specialized Oversampling and Undersampling Methods.

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IEEE Access, 2023

Mining Multiple Class Imbalanced Datasets Using a Specialized Balancing Algorithm and the Adaboost Technique.

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Proceedings of the Computational Collective Intelligence - 15th International Conference, 2023

Balancing Agents for Mining Imbalanced Multiclass Datasets - Performance Evaluation.

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Proceedings of the Computational Science - ICCS 2023, 2023

Parallelized Population-Based Multi-Heuristic System with Reinforcement Learning for Solving Multi-Skill Resource-Constrained Project Scheduling Problem with Hierarchical Skills.

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Proceedings of the Communication Papers of the 18th Conference on Computer Science and Intelligence Systems, 2023

Mushroom Picking Framework with Cache Memories for Solving Job Shop Scheduling Problem.

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Proceedings of the Communication Papers of the 18th Conference on Computer Science and Intelligence Systems, 2023

2022

A Multisize no Migration Island-Based Differential Evolution Algorithm With Removal of Ineffective Islands.

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IEEE Access, 2022

Implementation of the Mushroom Picking Framework for Solving Flexible Job Shop Scheduling Problems in Parallel.

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Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

A-Team Solving Multi-Skill Resource-Constrained Project Scheduling Problem.

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Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Bicriteria Oversampling for Imbalanced Data Classification.

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Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Oversampling for Mining Imbalanced Datasets: Taxonomy and Performance Evaluation.

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Proceedings of the Computational Collective Intelligence - 14th International Conference, 2022

Collective of Base Classifiers for Mining Imbalanced Data.

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Proceedings of the Computational Science - ICCS 2022, 2022

2021

GEP-based classifier for mining imbalanced data.

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Expert Syst. Appl., 2021

GEP-based classifiers with drift-detection.

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Expert Syst. J. Knowl. Eng., 2021

Designing RBFNs Structure Using Similarity-Based and Kernel-Based Fuzzy C-Means Clustering Algorithms.

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IEEE Access, 2021

Supervised Classification Problems-Taxonomy of Dimensions and Notation for Problems Identification.

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IEEE Access, 2021

A Population-Based Framework for Solving the Job Shop Scheduling Problem.

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Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021

Imbalanced Data Mining Using Oversampling and Cellular GEP Ensemble.

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Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021

The Power of a Collective: Team of Agents Solving Instances of the Flow Shop and Job Shop Problems.

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Proceedings of the Computational Science - ICCS 2021, 2021

2020

Parallelized Swarm Intelligence Approach for Solving TSP and JSSP Problems.

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Algorithms, 2020

Solving Job Shop Scheduling with Parallel Population-Based Optimization and Apache Spark.

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Proceedings of the Intelligent Decision Technologies, 2020

GEP-based classifier with drift detection for mining imbalanced data streams.

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Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

2019

A-Team Solving Distributed Resource-Constrained Multi-Project Scheduling Problem.

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Vietnam. J. Comput. Sci., 2019

Implementing Gene Expression Programming in the Parallel Environment for Big Datasets' Classification.

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Vietnam. J. Comput. Sci., 2019

Gene Expression Programming as a data classification tool. A review.

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J. Intell. Fuzzy Syst., 2019

Data reduction and stacking for imbalanced data classification.

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J. Intell. Fuzzy Syst., 2019

An island-based differential evolution algorithm with the multi-size populations.

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Expert Syst. Appl., 2019

Apache Spark as a Tool for Parallel Population-Based Optimization.

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Proceedings of the Intelligent Decision Technologies 2019, 2019

Experimental Evaluation of A-Teams Solving Resource Availability Cost Problem.

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Proceedings of the Intelligent Decision Technologies 2019, 2019

Gene Expression Programming Classifier with Concept Drift Detection Based on Fisher Exact Test.

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Proceedings of the Intelligent Decision Technologies 2019, 2019

Current Trends in the Population-Based Optimization.

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Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

An Approach to Imbalanced Data Classification Based on Instance Selection and Over-Sampling.

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Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

2018

Incremental Gene Expression Programming Classifier with Metagenes and Data Reduction.

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Complex., 2018

Overcoming "Big Data" Barriers in Machine Learning Techniques for the Real-Life Applications.

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Complex., 2018

An Approach to Data Reduction for Learning from Big Datasets: Integrating Stacking, Rotation, and Agent Population Learning Techniques.

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Complex., 2018

GEP-Based Ensemble Classifier with Drift-Detection.

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Proceedings of the Artificial Intelligence XXXV, 2018

Firefly Algorithm for the RBF Network Design.

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Proceedings of the 2018 Innovations in Intelligent Systems and Applications, 2018

Parallel GEP Ensemble for Classifying Big Datasets.

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Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018

Cluster-Based Instance Selection for the Imbalanced Data Classification.

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Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018

2017

An ensemble of the distance-based and Naive Bayes classifiers for the online classification with data reduction.

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J. Intell. Fuzzy Syst., 2017

Learning from examples with data reduction and stacked generalization.

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J. Intell. Fuzzy Syst., 2017

Incremetal GEP-Based Ensemble Classifier.

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Proceedings of the Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), 2017

Stacking-Based Integrated Machine Learning with Data Reduction.

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Proceedings of the Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), 2017

Preface.

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Tulay Yildirim

Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

Stacking and rotation-based technique for machine learning classification with data reduction.

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Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

Gene Expression Programming Ensemble for Classifying Big Datasets.

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Proceedings of the Computational Collective Intelligence - 9th International Conference, 2017

2016

Improving Performance of the Differential Evolution Algorithm Using Cyclic Decloning and Changeable Population Size.

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J. Univers. Comput. Sci., 2016

PLA Based Strategy for Solving RCPSP by a Team of Agents.

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J. Univers. Comput. Sci., 2016

Distance-based online classifiers.

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Expert Syst. Appl., 2016

Agent-Based RBF Network Classifier with Feature Selection in a Kernel Space.

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Cybern. Syst., 2016

An approach to machine classification based on stacked generalization and instance selection.

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Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Properties of the Island-Based and Single Population Differential Evolution Algorithms Applied to Discrete-Continuous Scheduling.

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Proceedings of the Intelligent Decision Technologies 2016 - Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016), 2016

PLA Based Strategy for Solving MRCPSP by a Team of Agents.

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Proceedings of the Intelligent Decision Technologies 2016 - Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016), 2016

Apache Spark Implementation of the Distance-Based Kernel-Based Fuzzy C-Means Clustering Classifier.

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Proceedings of the Intelligent Decision Technologies 2016 - Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016), 2016

Kernel-Based Fuzzy C-Means Clustering Algorithm for RBF Network Initialization.

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Proceedings of the Intelligent Decision Technologies 2016 - Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016), 2016

Dynamic Cooperative Interaction Strategy for Solving RCPSP by a Team of Agents.

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Proceedings of the Computational Collective Intelligence - 8th International Conference, 2016

Bi-criteria Data Reduction for Instance-Based Classification.

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Proceedings of the Computational Collective Intelligence - 8th International Conference, 2016

2015

Ensemble Online Classifier Based on the One-Class Base Classifiers for Mining Data Streams.

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Cybern. Syst., 2015

Reinforcement Learning Strategy for Solving the MRCPSP by a Team of Agents.

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Proceedings of the Intelligent Decision Technologies, 2015

Distance-Based Ensemble Online Classifier with Kernel Clustering.

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Proceedings of the Intelligent Decision Technologies, 2015

An Experimental Study of Scenarios for the Agent-Based RBF Network Design.

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Proceedings of the Intelligent Decision Technologies, 2015

A Hybrid Distance-Based and Naive Bayes Online Classifier.

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Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

Cluster-Dependent Feature Selection for the RBF Networks.

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Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

Preface.

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Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

Cluster-dependent rotation-based feature selection for the RBF networks initialization.

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Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

2014

Designing RBF Networks Using the Agent-Based Population Learning Algorithm.

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New Gener. Comput., 2014

Reinforcement Learning strategies for A-Team solving the Resource-Constrained Project Scheduling Problem.

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Neurocomputing, 2014

Island-based Differential Evolution Algorithm for the Discrete-continuous Scheduling with Continuous Resource Discretisation.

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Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

Ensemble Classifier for Mining Data Streams.

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Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

An Approach to RBF Initialization with Feature Selection.

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Proceedings of the Intelligent Systems'2014, 2014

Reinforcement Learning Strategy for Solving the Resource-Constrained Project Scheduling Problem by a Team of A-Teams.

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Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014

A Family of the Online Distance-Based Classifiers.

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Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014

Online Learning Based on Prototypes.

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Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014

2013

Structure vs. Efficiency of the Cross-Entropy Based Population Learning Algorithm for Discrete-Continuous Scheduling with Continuous Resource Discretisation.

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Proceedings of the Agent-Based Optimization, 2013

Triple-Action Agents Solving the MRCPSP/Max Problem.

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Proceedings of the Agent-Based Optimization, 2013

Machine Learning and Multiagent Systems as Interrelated Technologies.

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Proceedings of the Agent-Based Optimization, 2013

Team of A-Teams - A Study of the Cooperation between Program Agents Solving Difficult Optimization Problems.

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Proceedings of the Agent-Based Optimization, 2013

Agent-Based Approach to the Design of RBF Networks.

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Cybern. Syst., 2013

Reinforcement Learning Strategy for A-Team Solving the Resource-Constrained Project Scheduling Problem.

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Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2013

Online Classifiers Based on Fuzzy C-means Clustering.

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Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2013

Agent-Based Data Reduction Using Ensemble Technique.

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Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2013

Agent-Based Population Learning Algorithm for RBF Network Tuning.

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Proceedings of the Artificial Intelligence and Soft Computing, 2013

Population learning with differential evolution for the discrete-continuous scheduling with continuous resource discretisation.

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Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

Combining expression trees.

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Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

Consensus-based cluster merging for the prototype selection.

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Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

2012

Special issue on intelligent and autonomous systems.

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Ngoc Thanh Nguyen

Geuk Lee

Neurocomputing, 2012

Selecting a Representative Data Set of the Required Size Using the Agent-Based Population Learning Algorithm.

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Cybern. Syst., 2012

Impact of Migration Topologies on Performance of Teams of A-Teams.

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Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Team of A-Teams for Solving the Resource-Constrained Project Scheduling Problem.

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Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Combined classifier constructed from the reduced dataset obtained using fuzzy C-means and differential evolution algorithms.

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Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

An Approach to Cluster Initialization for RBF Networks.

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Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Study of the Migration Scheme Influence on Performance of A-Teams Solving the Job Shop Scheduling Problem.

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Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2012

A-Team for Solving the Resource Availability Cost Problem.

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Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2012

Agent-Based Approach to RBF Network Training with Floating Centroids.

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Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2012

2011

Constructing Ensemble Classifiers from GEP-Induced Expression Trees.

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Proceedings of the Next Generation Data Technologies for Collective Computational Intelligence, 2011

Cellular Gene Expression Programming Classifier Learning.

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Trans. Comput. Collect. Intell., 2011

Experimental evaluation of two new GEP-based ensemble classifiers.

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Expert Syst. Appl., 2011

An agent-based framework for distributed learning.

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Eng. Appl. Artif. Intell., 2011

Guest Editorial: Knowledge Processing Methodologies in Intelligent Autonomous Systems.

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[DOI]

Edward Szczerbicki

Ngoc Thanh Nguyen

Cybern. Syst., 2011

Population-Based Multi-Agent Approach to Solving Machine Learning Problems.

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Cybern. Syst., 2011

Application of agent-based simulated annealing and tabu search procedures to solving the data reduction problem.

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Int. J. Appl. Math. Comput. Sci., 2011

A consensus-based approach to the distributed learning.

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Proceedings of the IEEE International Conference on Systems, 2011

Parallel Cooperating A-Teams Solving Instances of the Euclidean Planar Travelling Salesman Problem.

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