Evolutionary Algorithms for Parameter Optimization—Thirty Years Later Article Swipe
Thomas Bäck
,
Anna V. Kononova
,
Bas van Stein
,
Hao Wang
,
Kirill Antonov
,
Roman Kalkreuth
,
Jacob de Nobel
,
Diederick Vermetten
,
Roy de Winter
,
Furong Ye
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1162/evco_a_00325
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1162/evco_a_00325
Thirty years, 1993–2023, is a huge time frame in science. We address some major developments in the field of evolutionary algorithms, with applications in parameter optimization, over these 30 years. These include the covariance matrix adaptation evolution strategy and some fast-growing fields such as multimodal optimization, surrogate-assisted optimization, multiobjective optimization, and automated algorithm design. Moreover, we also discuss particle swarm optimization and differential evolution, which did not exist 30 years ago, either. One of the key arguments made in the paper is that we need fewer algorithms, not more, which, however, is the current trend through continuously claiming paradigms from nature that are suggested to be useful as new optimization algorithms. Moreover, we argue that we need proper benchmarking procedures to sort out whether a newly proposed algorithm is useful or not. We also briefly discuss automated algorithm design approaches, including configurable algorithm design frameworks, as the proposed next step toward designing optimization algorithms automatically, rather than by hand.
Related Topics
Concepts
CMA-ES
Computer science
Benchmarking
Evolutionary algorithm
Differential evolution
Meta-optimization
Algorithm
Mathematical optimization
Evolution strategy
Optimization problem
Multi-objective optimization
Imperialist competitive algorithm
Multi-swarm optimization
sort
Continuous optimization
Metaheuristic
Optimization algorithm
Evolutionary computation
Artificial intelligence
Machine learning
Mathematics
Information retrieval
Marketing
Business
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1162/evco_a_00325
- https://direct.mit.edu/evco/article-pdf/31/2/81/2133989/evco_a_00325.pdf
- OA Status
- bronze
- Cited By
- 55
- References
- 363
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4381415589
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4381415589Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1162/evco_a_00325Digital Object Identifier
- Title
-
Evolutionary Algorithms for Parameter Optimization—Thirty Years LaterWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Thomas Bäck, Anna V. Kononova, Bas van Stein, Hao Wang, Kirill Antonov, Roman Kalkreuth, Jacob de Nobel, Diederick Vermetten, Roy de Winter, Furong YeList of authors in order
- Landing page
-
https://doi.org/10.1162/evco_a_00325Publisher landing page
- PDF URL
-
https://direct.mit.edu/evco/article-pdf/31/2/81/2133989/evco_a_00325.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://direct.mit.edu/evco/article-pdf/31/2/81/2133989/evco_a_00325.pdfDirect OA link when available
- Concepts
-
CMA-ES, Computer science, Benchmarking, Evolutionary algorithm, Differential evolution, Meta-optimization, Algorithm, Mathematical optimization, Evolution strategy, Optimization problem, Multi-objective optimization, Imperialist competitive algorithm, Multi-swarm optimization, sort, Continuous optimization, Metaheuristic, Optimization algorithm, Evolutionary computation, Artificial intelligence, Machine learning, Mathematics, Information retrieval, Marketing, BusinessTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
55Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 23, 2024: 21, 2023: 3, 2018: 2, 2017: 1Per-year citation counts (last 5 years)
- References (count)
-
363Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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