Evolutionary Multi-objective Scheduling
Evolutionary Multi-Objective Scheduling is a multi-objective optimization approach within scheduling theory that employs evolutionary algorithms to simultaneously optimize multiple conflicting objectives by iteratively evolving a population of feasible schedules toward the Pareto-optimal front.
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1.3K
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513
Institutions
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2017–2026
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Hisao Ishibuchi, Takafumi Yoshida, Tadahiko Murata · IEEE Transactions on Evolutionary Computation · 2003 · 774 citations
Natural Sciences, Computer Engineering, Computer Science +17
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Huazhong University of Science and Technology
Wuhan, China
25 h-index
103 publications
6.3K citations
Tsinghua University
Beijing, China
11 h-index
26 publications
1.2K citations

Chongqing University
Chongqing, China
9 h-index
29 publications
1.4K citations
Wuhan University of Technology
Wuhan, China
9 h-index
20 publications
1.1K citations
National University of Singapore
Singapore, Singapore
8 h-index
13 publications
455 citations

Central South University
Changsha, China
8 h-index
15 publications
726 citations
Liaocheng University
Liaocheng, China
8 h-index
16 publications
1.3K citations

Shanghai Jiao Tong University
Shanghai, China
8 h-index
23 publications
925 citations
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