Self-Adaptive Evolutionary Algorithms is an evolutionary algorithm in which strategy parameters such as mutation step sizes are encoded in the individual genome and subject to evolution, thereby enabling automatic adaptation of search behavior during the optimization process.
568
Publications
40.2K
Citations
1.4K
Authors
570
Institutions
Publications per year
2017–2026
196
Variants
Self-adaptive Eas
Publications
568
Success-history based parameter adaptation for Differential Evolution
Ryoji Tanabe, Alex Fukunaga · 2013 · 1.3K citations
1–5 of 568
Authors
1.4K
- JB
18
h-index
- BB
14
h-index
- HB
11
h-index
- AZ
11
h-index
- PNPonnuthurai Nagaratnam Suganthan
Nanyang Technological University, Singapore
11 publications · 6.2K citations
11
h-index
1–5 of 1.4K
Institutions
570
University of Maribor
Maribor, Slovenia
22 h-index
81 publications
22.1K citations
Nanyang Technological University
Singapore, Singapore
13 h-index
30 publications
16.8K citations
TU Dortmund University
Dortmund, Germany
12 h-index
15 publications
1.1K citations
East China University of Science and Technology
Shanghai, China
11 h-index
27 publications
1.2K citations
UNSW Sydney
Sydney, Australia
11 h-index
23 publications
1.7K citations
Wuhan University
Wuhan, China
9 h-index
26 publications
988 citations
University of Science and Technology of China
Hefei, China
8 h-index
17 publications
3.4K citations
Huazhong University of Science and Technology
Wuhan, China
8 h-index
27 publications
889 citations
1–8 of 570
Venues
- Soft Computing
23 publications · 1.6K citations
19
h-index
- Evolutionary Computation
15 publications · 2.2K citations
15
h-index
- Applied Soft Computing
16 publications · 950 citations
15
h-index
- IEEE Transactions on Evolutionary Computation
15 publications · 8.1K citations
14
h-index
- Swarm and Evolutionary Computation
13 publications · 986 citations
13
h-index
1–5