Agent-based Optimization
Agent-Based Optimization is a computational methodology within agent-based design that leverages autonomous, interacting agents to explore and adaptively refine solutions in complex search spaces, distinguishing itself from conventional optimization techniques through decentralized decision-making and emergent coordination.
932
Publications
46.5K
Citations
2.5K
Authors
942
Institutions
Publications per year
2017–2026
295
Parents
932
1–5 of 932
2.5K
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942

Delft University of Technology
Delft, The Netherlands
12 h-index
29 publications
1K citations
University of Southern California
Los Angeles, United States
12 h-index
39 publications
2.2K citations
Carnegie Mellon University
Pittsburgh, United States
11 h-index
25 publications
868 citations
Ben-Gurion University of the Negev
Beersheba, Israel
10 h-index
29 publications
2.4K citations
University of Southampton
Southampton, United Kingdom
10 h-index
20 publications
2K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
25 publications
829 citations
Nanyang Technological University
Singapore, Singapore
9 h-index
18 publications
678 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
9 h-index
17 publications
866 citations
1–8 of 942
13 publications · 381 citations
12
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13 publications · 651 citations
12
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Repository · 12 publications · 317 citations
12
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11 publications · 878 citations
12
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10 publications · 644 citations
10
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