Indicator-based Optimization
Indicator-Based Optimization is a multi-objective optimization paradigm that belongs to the class of evolutionary algorithms, distinguished by its use of a quantitative performance indicator to guide the selection and evolution of solutions toward the Pareto-optimal front.
147
Publications
9.6K
Citations
410
Authors
215
Institutions
Publications per year
2017–2026
81
Parents
147
1–5 of 147
410
11
h-index
Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico
7 publications · 265 citations
7
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6
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6
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5
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1–5 of 410
215

Southern University of Science and Technology
Shenzhen, China
10 h-index
18 publications
2.9K citations

Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional
Mexico City, Mexico
9 h-index
15 publications
856 citations

University of Birmingham
Birmingham, United Kingdom
7 h-index
8 publications
1.2K citations
Nanyang Technological University
Singapore, Singapore
6 h-index
10 publications
960 citations
TU Dortmund University
Dortmund, Germany
5 h-index
8 publications
276 citations
Osaka Prefecture University
Sakai, Japan
5 h-index
17 publications
1.2K citations

Northeastern University
Shenyang, China
5 h-index
14 publications
534 citations

De Montfort University
Leicester, United Kingdom
4 h-index
5 publications
446 citations
1–8 of 215
15 publications · 3.3K citations
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6 publications · 235 citations
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6 publications · 284 citations
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5 publications · 160 citations
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5 publications · 202 citations
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