Interactive Multi-objective Optimization
Interactive Multi-Objective Optimization is a multi-objective optimization approach that iteratively incorporates the decision maker's preferences through explicit feedback during the search process, thereby distinguishing itself by enabling human-in-the-loop guidance to converge toward preferred trade-off solutions.
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12K
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466
Authors
255
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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
Pekka Korhonen, Jyrki Wallenius · Naval Research Logistics (NRL) · 1988 · 264 citations
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University of Jyväskylä
Jyväskylä, Finland
23 h-index
64 publications
3.5K citations
Aalto University
Espoo, Finland
14 h-index
30 publications
2.3K citations

Universidad de Málaga
Málaga, Spain
11 h-index
23 publications
1.2K citations

Poznań University of Technology
Poznan, Poland
9 h-index
18 publications
638 citations
Middle East Technical University
Ankara, Türkiye
8 h-index
13 publications
305 citations

University of Manchester
Manchester, United Kingdom
6 h-index
8 publications
257 citations
Systems Research Institute
Warsaw, Poland
5 h-index
7 publications
267 citations

Shanghai Jiao Tong University
Shanghai, China
5 h-index
11 publications
271 citations
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19 publications · 1.1K citations
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14 publications · 769 citations
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OR · 11 publications · 490 citations
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7 publications · 185 citations
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7 publications · 1.8K citations
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