Multiobjective Niching
Multiobjective Niching is a computational optimization strategy within evolutionary algorithms that extends conventional niching methods by simultaneously preserving multiple diverse solutions across several conflicting objectives, thereby maintaining both solution diversity in the decision space and convergence in the objective space.
22
Publications
1.6K
Citations
70
Authors
33
Institutions
Publications per year
2017–2026
6
Variants
Multi-objective Niching
Parents
22
Multiobjective hBOA, clustering, and scalability
Martin Pelikán, Kumara Sastry, David E. Goldberg · 2005 · 98 citations
1–5 of 22
70
2
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2
h-index
University of Illinois Urbana-Champaign, United States
2 publications · 114 citations
2
h-index
1
h-index
1
h-index
1–5 of 70
33
TU Dortmund University
Dortmund, Germany
3 h-index
5 publications
133 citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
1 h-index
4 publications
72 citations
Leiden University
Leiden, The Netherlands
1 h-index
7 publications
182 citations
U.S. Air Force Materiel Command
Wright-Patterson Air Force Base, United States
1 h-index
1 publications
261 citations
Gdańsk University of Technology
Gdansk, Poland
1 h-index
2 publications
32 citations
Graz University of Technology
Graz, Austria
1 h-index
4 publications
56 citations
Zhengzhou University of Aeronautics
Zhengzhou, China
1 h-index
1 publications
19 citations
ABB (Switzerland)
Zurich, Switzerland
1 h-index
2 publications
28 citations
1–8 of 33
2 publications · 60 citations
2
h-index
1 publications · 75 citations
1
h-index
1 publications · 198 citations
1
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1 publications · 19 citations
1
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1 publications · 58 citations
1
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1–5