Volume 21, issue 2, June 2022

Special Issue: Understanding of Evolutionary Optimization Behavior, Part 2

Issue editors

Christian Blum
Tome Eftimov
Peter Korosˇec

12 articles in this issue

Preface

Authors
- Christian Blum
- Tome Eftimov
- Peter Korošec
- Content type: EditorialNotes
- Published: 13 July 2021
- Pages: 127 - 130
Analyzing randomness effects on the reliability of exploratory landscape analysis

Authors
- Mario Andrés Muñoz
- Michael Kirley
- Kate Smith-Miles
- Content type: OriginalPaper
- Published: 12 February 2021
- Pages: 131 - 154
Classifying Metaheuristics: Towards a unified multi-level classification system

Authors
- Helena Stegherr
- Michael Heider
- Jörg Hähner
- Content type: OriginalPaper
- Open Access
- Published: 12 December 2020
- Pages: 155 - 171
On sampling error in genetic programming

Authors
- Dirk Schweim
- David Wittenberg
- Franz Rothlauf
- Content type: OriginalPaper
- Open Access
- Published: 31 January 2021
- Pages: 173 - 186
Comparison of synchronous and asynchronous parallelization of extreme surrogate-assisted multi-objective evolutionary algorithm

Authors
- Tomohiro Harada
- Misaki Kaidan
- Ruck Thawonmas
- Content type: OriginalPaper
- Open Access
- Published: 18 September 2020
- Pages: 187 - 217
A new taxonomy of global optimization algorithms

Authors
- Jörg Stork
- A. E. Eiben
- Thomas Bartz-Beielstein
- Content type: ReviewPaper
- Open Access
- Published: 27 November 2020
- Pages: 219 - 242
Visualizations for rule-based machine learning

Authors
- Yi Liu
- Will N. Browne
- Bing Xue
- Content type: OriginalPaper
- Published: 29 January 2021
- Pages: 243 - 264
Similarity in metaheuristics: a gentle step towards a comparison methodology

Authors (first, second and last of 4)
- Jesica de Armas
- Eduardo Lalla-Ruiz
- Stefan Voß
- Content type: OriginalPaper
- Published: 10 February 2021
- Pages: 265 - 287
Understanding measure-driven algorithms solving irreversibly ill-conditioned problems

Authors (first, second and last of 4)
- Jakub Sawicki
- Marcin Łoś
- Robert Schaefer
- Content type: OriginalPaper
- Open Access
- Published: 20 February 2021
- Pages: 289 - 315
The fractal geometry of fitness landscapes at the local optima level

Authors
- Sarah L. Thomson
- Gabriela Ochoa
- Sébastien Verel
- Content type: OriginalPaper
- Open Access
- Published: 19 December 2020
- Pages: 317 - 333
The influence of fitness landscape characteristics on particle swarm optimisers

Authors
- A P Engelbrecht
- P Bosman
- K M Malan
- Content type: OriginalPaper
- Published: 11 January 2021
- Pages: 335 - 345
Gamesourcing: an unconventional tool to assist the solution of the traveling salesman problem

Authors
- Ivan Zelinka
- Swagatam Das
- Content type: OriginalPaper
- Published: 03 November 2020
- Pages: 347 - 357

Volume 21, issue 2, June 2022

Special Issue: Understanding of Evolutionary Optimization Behavior, Part 2

Preface

Analyzing randomness effects on the reliability of exploratory landscape analysis

Classifying Metaheuristics: Towards a unified multi-level classification system

On sampling error in genetic programming

Comparison of synchronous and asynchronous parallelization of extreme surrogate-assisted multi-objective evolutionary algorithm

A new taxonomy of global optimization algorithms

Visualizations for rule-based machine learning

Similarity in metaheuristics: a gentle step towards a comparison methodology

Understanding measure-driven algorithms solving irreversibly ill-conditioned problems

The fractal geometry of fitness landscapes at the local optima level

The influence of fitness landscape characteristics on particle swarm optimisers

Gamesourcing: an unconventional tool to assist the solution of the traveling salesman problem

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Volume 21, issue 2, June 2022

Special Issue: Understanding of Evolutionary Optimization Behavior, Part 2

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