Indicator-Based Evolutionary Algorithms is an evolutionary algorithm that employs a performance indicator to guide the search process by quantifying the quality of the Pareto approximation set, thereby distinguishing it from other multiobjective evolutionary algorithms through its reliance on indicator-based selection mechanisms.
97
Publications
6.9K
Citations
267
Authors
150
Institutions
Publications per year
2017–2026
57
Variants
Ibea
Parents
Publications
97
1–5 of 97
Authors
267
- CACarlos A. Coello Coello
Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico
9 publications · 337 citations
9
h-index
- HI
8
h-index
- TM
4
h-index
- YN
4
h-index
- ML
4
h-index
1–5 of 267
Institutions
150
Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional
Mexico City, Mexico
11 h-index
20 publications
1K citations
Southern University of Science and Technology
Shenzhen, China
7 h-index
13 publications
2.3K citations
University of Birmingham
Birmingham, United Kingdom
6 h-index
7 publications
1.1K citations
Nanyang Technological University
Singapore, Singapore
6 h-index
9 publications
947 citations
Osaka Prefecture University
Sakai, Japan
4 h-index
14 publications
892 citations
West Virginia University
Morgantown, United States
4 h-index
15 publications
1.2K citations
Guangdong University of Technology
Guangzhou, China
3 h-index
8 publications
1.1K citations
Instituto Politécnico Nacional
Mexico City, Mexico
3 h-index
7 publications
441 citations
1–8 of 150
Venues
- IEEE Transactions on Evolutionary Computation
13 publications · 3K citations
13
h-index
- IEEE Transactions on Cybernetics
5 publications · 506 citations
5
h-index
- Swarm and Evolutionary Computation
6 publications · 172 citations
5
h-index
- Proceedings of the Genetic and Evolutionary Computation Conference
Conference · 4 publications · 154 citations
4
h-index
- Information Sciences
4 publications · 286 citations
4
h-index
1–5