Adaptive Heuristics
Adaptive Heuristics is a heuristic optimization method that dynamically modifies its search strategies or parameters during the problem-solving process based on feedback from previous iterations to improve solution quality and convergence efficiency.
128
Publications
11.3K
Citations
324
Authors
171
Institutions
Publications per year
2017–2026
23
Parents
128
Anton Beloglazov, Rajkumar Buyya · Concurrency and Computation Practice and Experience · 2011 · 1.8K citations
Gerd Gigerenzer · Perspectives on Psychological Science · 2008 · 913 citations · Full text
Fast and frugal heuristics: The adaptive toolbox.
Gerd Gigerenzer, Peter M. Todd · Max Planck Digital Library · 1999 · 503 citations · Full text
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Dalle Molle Institute for Artificial Intelligence Research, Switzerland
3 publications · 461 citations
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3
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1–5 of 324
171
Max Planck Institute for Human Development
Berlin, Germany
6 h-index
10 publications
2.9K citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
6 publications
432 citations
University of Southern California
Los Angeles, United States
4 h-index
6 publications
212 citations

University of Toronto
Toronto, Canada
4 h-index
5 publications
157 citations
Suranaree University of Technology
Nakhon Ratchasima, Thailand
3 h-index
7 publications
194 citations
Université de Montréal
Montreal, Canada
3 h-index
7 publications
638 citations
AT&T (United States)
Bedminster, United States
3 h-index
5 publications
623 citations

University of Minnesota
Minneapolis, United States
3 h-index
6 publications
430 citations
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2 publications · 99 citations
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CMES · 2 publications · 70 citations
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2 publications · 260 citations
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Conference · 2 publications · 32 citations
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2 publications · 2.2K citations
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