Minimax Goal Programming
Minimax Goal Programming is a variant of goal programming that belongs to the class of optimization methods designed to minimize the maximum deviation from a set of predefined goals, distinguishing itself by focusing on the worst-case disparity across all objectives rather than aggregating deviations.
22
Publications
730
Citations
56
Authors
31
Institutions
Publications per year
2017–2026
4
Parents
22
Zakie Mamashli, Ali Bozorgi-Amiri, Iman Dadashpour et al. · Neural Computing and Applications · 2021 · 47 citations
1–5 of 22
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Islamic Azad University, Science and Research Branch, Iran
1 publications · 22 citations
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1
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1
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1
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1–5 of 56
31

Universidad Politécnica de Madrid
Madrid, Spain
3 h-index
4 publications
248 citations
Central Water and Power Research Station
Pune, India
1 h-index
1 publications
21 citations
Texas State University
San Marcos, United States
1 h-index
1 publications
11 citations
Warsaw University of Technology
Warsaw, Poland
1 h-index
1 publications
14 citations
National University of Singapore
Singapore, Singapore
1 h-index
3 publications
252 citations
The Ohio State University
Columbus, United States
1 h-index
1 publications
12 citations

City University of Hong Kong
Hong Kong, Hong Kong
1 h-index
2 publications
48 citations
Universidade de São Paulo
São Paulo, Brazil
1 h-index
1 publications
21 citations
1–8 of 31
3 publications · 64 citations
3
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3 publications · 113 citations
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OR · 2 publications · 129 citations
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FR · 1 publications · 14 citations
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1 publications · 84 citations
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