Optimization-based Weighting
Optimization-Based Weighting is a criteria weighting method that belongs to the class of mathematical programming approaches, distinguished by its use of an objective function and constraints to systematically determine optimal weights that best satisfy predefined performance or decision criteria.
142
Publications
7.5K
Citations
389
Authors
194
Institutions
Publications per year
2017–2026
41
Parents
142
A Novel Sigmoid-Function-Based Adaptive Weighted Particle Swarm Optimizer
Weibo Liu, Zidong Wang, Yuan Yuan et al. · IEEE Transactions on Cybernetics · 2019 · 337 citations · Full text
Adiel Teixeira de Almeida, Jônatas Araújo de Almeida, Ana Paula Cabral Seixas Costa et al. · European Journal of Operational Research · 2015 · 331 citations
Vagelis Hristidis, Nick Koudas, Yannis Papakonstantinou · 2001 · 267 citations
Business, Operations Management, Multi-criteria Decision Making +16
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194
University of Maryland, College Park
College Park, United States
4 h-index
6 publications
627 citations
University of California San Diego
San Diego, United States
3 h-index
6 publications
666 citations

Chung-Ang University
Seoul, South Korea
3 h-index
4 publications
140 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
2 publications
29 citations

Universidad de Sevilla
Seville, Spain
2 h-index
1 publications
41 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
3 publications
202 citations

Universidade Federal do Rio de Janeiro
Rio de Janeiro, Brazil
2 h-index
3 publications
100 citations

City University of Hong Kong
Hong Kong, Hong Kong
2 h-index
2 publications
44 citations
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8 publications · 1K citations
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3 publications · 272 citations
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3 publications · 153 citations
3
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OR · 2 publications · 94 citations
2
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ISJ · 2 publications · 31 citations
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