Constrained Goal Programming
Constrained Goal Programming is a methodological framework within multi-objective optimization that distinguishes itself by incorporating rigid structural constraints alongside goal aspirations, thereby restricting the feasible solution space to satisfy predefined resource, technological, or systemic limitations while minimizing deviations from target goals.
42
Publications
2.7K
Citations
91
Authors
60
Institutions
Publications per year
2017–2026
8
Parents
42
1–5 of 42
91
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h-index
New Mexico Institute of Mining and Technology, United States
3 publications · 274 citations
3
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2
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2
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1–5 of 91
60
The University of Texas at Austin
Austin, United States
5 h-index
9 publications
1.4K citations
University of Nebraska–Lincoln
Lincoln, United States
2 h-index
2 publications
47 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
2 publications
779 citations

Universidad de Málaga
Málaga, Spain
2 h-index
6 publications
102 citations

North China Electric Power University
Beijing, China
2 h-index
5 publications
97 citations

University of Milan
Milan, Italy
2 h-index
2 publications
60 citations
Oregon State University
Corvallis, United States
1 h-index
1 publications
24 citations

Huanggang Normal University
Huangzhou, China
1 h-index
2 publications
216 citations
1–8 of 60
8 publications · 1.1K citations
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3 publications · 105 citations
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OR · 3 publications · 118 citations
3
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2 publications · 60 citations
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2 publications · 142 citations
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1–5