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Bioinspired Optimization Methods and Their Applications: 10th International Conference, BIOMA 2022, Maribor, Slovenia, November 17-18, 2022, Proceedings

1st Edition 2022, 2022

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Exploration and Exploitation in Evolutionary Algorithms: A Survey

ACM computing surveys, 2013-06, Vol.45 (3), p.1-33

2013

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On clarifying misconceptions when comparing variants of the Artificial Bee Colony Algorithm by offering a new implementation

Information sciences, 2015, Vol.291, p.115-127

2015

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A chess rating system for evolutionary algorithms: A new method for the comparison and ranking of evolutionary algorithms

Information sciences, 2014-09, Vol.277, p.656-679

2014

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A note on teaching–learning-based optimization algorithm

Information sciences, 2012-12, Vol.212, p.79-93

2012

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On the influence of the number of algorithms, problems, and independent runs in the comparison of evolutionary algorithms

Applied soft computing, 2017-05, Vol.54, p.23-45

2017

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Parameter tuning with Chess Rating System (CRS-Tuning) for meta-heuristic algorithms

Information sciences, 2016-12, Vol.372, p.446-469

2016

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Maximum number of generations as a stopping criterion considered harmful

Applied soft computing, 2022-10, Vol.128, p.109478, Article 109478

2022

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Replication and comparison of computational experiments in applied evolutionary computing: Common pitfalls and guidelines to avoid them

Applied soft computing, 2014-06, Vol.19, p.161-170

2014

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A novel direct measure of exploration and exploitation based on attraction basins

Expert systems with applications, 2021-04, Vol.167, p.114353, Article 114353

2021

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A parameter control method of evolutionary algorithms using exploration and exploitation measures with a practical application for fitting Sovova's mass transfer model

Applied soft computing, 2013-09, Vol.13 (9), p.3792-3805

2013

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Is a comparison of results meaningful from the inexact replications of computational experiments?

Soft computing (Berlin, Germany), 2016-01, Vol.20 (1), p.223-235

2016

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Inferring Absolutely Non-Circular Attribute Grammars with a Memetic Algorithm

Applied soft computing, 2021-03, Vol.100, p.106956, Article 106956

2021

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Probability and Certainty in the Performance of Evolutionary and Swarm Optimization Algorithms

Mathematics (Basel), 2022-11, Vol.10 (22), p.4364

2022

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From Grammar Inference to Semantic Inference—An Evolutionary Approach

Mathematics (Basel), 2020-05, Vol.8 (5), p.816

2020

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Searching for soil models’ parameters using metaheuristics

Applied soft computing, 2018-08, Vol.69, p.131-148

2018

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A Case Study on the Design and Implementation of a Platform for Hand Rehabilitation

Applied sciences, 2021-01, Vol.11 (1), p.389

2021

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Long Term Memory Assistance for Evolutionary Algorithms

Mathematics (Basel), 2019-11, Vol.7 (11), p.1129

2019

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RNGSGLR: Generalization of the Context-Aware Scanning Architecture for All Character-Level Context-Free Languages

Mathematics (Basel), 2022-07, Vol.10 (14), p.2436

2022

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Automatic compiler/interpreter generation from programs for Domain-Specific Languages: Code bloat problem and performance improvement

Journal of computer languages (Online), 2022-06, Vol.70, p.101105, Article 101105

2022

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Tuning Multi-Objective Evolutionary Algorithms on Different Sized Problem Sets

Mathematics (Basel), 2019-09, Vol.7 (9), p.824

2019

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Hybrid evolutionary algorithm for the b-chromatic number

Journal of heuristics, 2015-08, Vol.21 (4), p.501-521

2015

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Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System

Bioinspired Optimization Methods and Their Applications, 2022, Vol.13627, p.142-156

2022

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Empirical Similarity Measure for Metaheuristics

Bioinspired Optimization Methods and Their Applications, 2022, Vol.13627, p.69-83

2022

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The Influence of Local Search on Genetic Algorithms with Balanced Representations

Bioinspired Optimization Methods and Their Applications, 2022, Vol.13627, p.232-246

2022

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Bioinspired Optimization Methods and Their Applications: 10th International Conference, BIOMA 2022, Maribor, Slovenia, November 17-18, 2022, Proceedings

Exploration and Exploitation in Evolutionary Algorithms: A Survey

On clarifying misconceptions when comparing variants of the Artificial Bee Colony Algorithm by offering a new implementation

A chess rating system for evolutionary algorithms: A new method for the comparison and ranking of evolutionary algorithms

A note on teaching–learning-based optimization algorithm

On the influence of the number of algorithms, problems, and independent runs in the comparison of evolutionary algorithms

Parameter tuning with Chess Rating System (CRS-Tuning) for meta-heuristic algorithms

Maximum number of generations as a stopping criterion considered harmful

Replication and comparison of computational experiments in applied evolutionary computing: Common pitfalls and guidelines to avoid them

A novel direct measure of exploration and exploitation based on attraction basins

A parameter control method of evolutionary algorithms using exploration and exploitation measures with a practical application for fitting Sovova's mass transfer model

Is a comparison of results meaningful from the inexact replications of computational experiments?

Inferring Absolutely Non-Circular Attribute Grammars with a Memetic Algorithm

Probability and Certainty in the Performance of Evolutionary and Swarm Optimization Algorithms

From Grammar Inference to Semantic Inference—An Evolutionary Approach

Searching for soil models’ parameters using metaheuristics

A Case Study on the Design and Implementation of a Platform for Hand Rehabilitation

Long Term Memory Assistance for Evolutionary Algorithms

RNGSGLR: Generalization of the Context-Aware Scanning Architecture for All Character-Level Context-Free Languages

Automatic compiler/interpreter generation from programs for Domain-Specific Languages: Code bloat problem and performance improvement

Tuning Multi-Objective Evolutionary Algorithms on Different Sized Problem Sets

Hybrid evolutionary algorithm for the b-chromatic number

Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System

Empirical Similarity Measure for Metaheuristics

The Influence of Local Search on Genetic Algorithms with Balanced Representations

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