Decomposition-based Optimization
Decomposition-Based Optimization is a multi-objective optimization approach that decomposes a complex problem into multiple simpler subproblems through scalarization techniques, enabling the simultaneous optimization of conflicting objectives by coordinating solutions across subproblems.
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2017–2026
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Decomposition Principle for Linear Programs
George B. Dantzig, Philip Wolfe · Operations Research · 1960 · 2.3K citations
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Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico
14 publications · 629 citations
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City University of Hong Kong
Hong Kong, Hong Kong
25 h-index
44 publications
8.4K citations

Xidian University
Xi'an, China
21 h-index
100 publications
5.2K citations
Carnegie Mellon University
Pittsburgh, United States
18 h-index
46 publications
2.7K citations
Stanford University
Stanford, United States
17 h-index
24 publications
2.1K citations
University of Michigan
Ann Arbor, United States
16 h-index
48 publications
1.7K citations

Shenzhen University
Shenzhen, China
15 h-index
62 publications
2.3K citations

Langley Research Center
Hampton, United States
15 h-index
22 publications
3K citations

South China University of Technology
Guangzhou, China
15 h-index
33 publications
1.6K citations
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42 publications · 7.7K citations
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