Multi-Constraint Optimization is a mathematical framework within constrained Markov decision processes that requires the simultaneous satisfaction of multiple distinct constraints while optimizing a primary objective function.
267
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14.4K
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790
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378
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2017–2026
99
Publications
267
Pymoo: Multi-Objective Optimization in Python
Julian Blank, Kalyanmoy Deb · IEEE Access · 2020 · 2.1K citations · Full text
Multilevel Algorithms for Multi-Constraint Graph Partitioning
George Karypis, Vipin Kumar · 1998 · 347 citations
1–5 of 267
Authors
790
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1–5 of 790
Institutions
378
Northwestern Polytechnical University
Xi'an, China
6 h-index
25 publications
1.4K citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
9 publications
242 citations
National University of Defense Technology
Changsha, China
5 h-index
14 publications
429 citations
Northeastern University
Shenyang, China
5 h-index
9 publications
794 citations
Institute for Infocomm Research
Singapore, Singapore
4 h-index
5 publications
422 citations
Indian Institute of Technology Kanpur
Kanpur, India
4 h-index
8 publications
260 citations
Universidade de São Paulo
São Paulo, Brazil
4 h-index
10 publications
382 citations
Agency for Science, Technology and Research
Singapore, Singapore
4 h-index
5 publications
422 citations
1–8 of 378
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- IEEE Access
11 publications · 2.5K citations
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- European Journal of Operational Research
10 publications · 678 citations
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- Expert Systems with Applications
6 publications · 543 citations
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- IEEE Transactions on Reliability
6 publications · 417 citations
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- Applied Soft Computing
6 publications · 533 citations
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