Preference-Based Evolutionary Search is a computational optimization framework within co-evolutionary design that guides the evolutionary process by incorporating explicit preference information from stakeholders to selectively evolve solutions aligned with subjective or context-dependent criteria.
122
Publications
6.5K
Citations
302
Authors
156
Institutions
Publications per year
2017–2026
40
Parents
Publications
122
A Preference-Based Evolutionary Algorithm for Multi-Objective Optimization
Lothar Thiele, Kaisa Miettinen, Pekka Korhonen et al. · Evolutionary Computation · 2009 · 365 citations
Stable Matching-Based Selection in Evolutionary Multiobjective Optimization
Ke Li, Qingfu Zhang, Sam Kwong et al. · IEEE Transactions on Evolutionary Computation · 2014 · 363 citations
Business, Economics, Decision Theory +16
1–5 of 122
Authors
302
- RW
6
h-index
- PF
6
h-index
- RC
6
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- GY
5
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- SB
4
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1–5 of 302
Institutions
156
University of Sheffield
Sheffield, United Kingdom
6 h-index
17 publications
1.9K citations
National University of Defense Technology
Changsha, China
6 h-index
16 publications
594 citations
Xidian University
Xi'an, China
4 h-index
18 publications
396 citations
Osaka Prefecture University
Sakai, Japan
4 h-index
9 publications
150 citations
RMIT University
Melbourne, Australia
4 h-index
9 publications
483 citations
Universidad de Málaga
Málaga, Spain
4 h-index
9 publications
808 citations
ETH Zurich
Zurich, Switzerland
4 h-index
8 publications
758 citations
University of Jyväskylä
Jyväskylä, Finland
4 h-index
8 publications
611 citations
1–8 of 156
Venues
- IEEE Transactions on Evolutionary Computation
11 publications · 2K citations
11
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- Information Sciences
6 publications · 261 citations
6
h-index
- Swarm and Evolutionary Computation
5 publications · 192 citations
5
h-index
- Applied Soft Computing
4 publications · 138 citations
4
h-index
- European Journal of Operational Research
3 publications · 300 citations
3
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1–5