Preference-based Fitness Functions
Preference-Based Fitness Functions is a type of fitness function in evolutionary computation that incorporates human or expert preferences to guide the search process by comparing candidate solutions pairwise, thereby distinguishing itself from traditional fitness functions that rely solely on quantitative objective values.
13
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806
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2017–2026
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A Preference-Based Evolutionary Algorithm for Multi-Objective Optimization
Lothar Thiele, Kaisa Miettinen, Pekka Korhonen et al. · Evolutionary Computation · 2009 · 365 citations
ABSOLUTE FITNESS, RELATIVE FITNESS, AND UTILITY
H. Allen Orr · Evolution · 2007 · 56 citations
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Saint Ambrose University
Davenport, United States
1 h-index
1 publications
43 citations
University of Toledo
Toledo, United States
1 h-index
2 publications
26 citations
ETH Zurich
Zurich, Switzerland
1 h-index
1 publications
365 citations
University of Kansas
Lawrence, United States
1 h-index
1 publications
10 citations
Institute for Biomedical Engineering
Zurich, Switzerland
1 h-index
1 publications
365 citations

University of Essex
Colchester, United Kingdom
1 h-index
1 publications
24 citations
University of Denver
Denver, United States
1 h-index
4 publications
172 citations
Maastricht University
Maastricht, The Netherlands
1 h-index
2 publications
22 citations
1–8 of 17
2 publications · 385 citations
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1 publications · 56 citations
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1 publications · 11 citations
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1 publications · 10 citations
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1 publications · 11 citations
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