Robust Metaheuristic Optimization
Robust Metaheuristic Optimization is a computational optimization framework that integrates metaheuristic search strategies with robustness evaluation under uncertainty, distinguishing itself by simultaneously addressing global exploration and solution reliability in stochastic or variable environments.
78
Publications
5.2K
Citations
259
Authors
161
Institutions
Publications per year
2017–2026
40
Parents
78
Genetic Algorithms and the Optimal Allocation of Trials
John H. Holland · SIAM Journal on Computing · 1973 · 1.2K citations
Maryam Karimi-Mamaghan, Mehrdad Mohammadi, Patrick Meyer et al. · European Journal of Operational Research · 2021 · 436 citations · Full text
Kannan Govindan, Ahmad Jafarian, Vahid Nourbakhsh · Computers & Operations Research · 2015 · 226 citations
Management, Industrial Engineering, Supply Chain Management +16
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Centre National de la Recherche Scientifique
Paris, France
3 h-index
8 publications
1.9K citations
University College London
London, United Kingdom
2 h-index
4 publications
84 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
2 publications
137 citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
2 publications
109 citations

Tarbiat Modares University
Tehran, Iran
2 h-index
5 publications
248 citations

University of Kurdistan Hewler
Erbil, Iraq
2 h-index
2 publications
48 citations

Queensland University of Technology
Brisbane, Australia
2 h-index
4 publications
274 citations
Hasso Plattner Institute
Potsdam, Germany
2 h-index
8 publications
168 citations
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2 publications · 43 citations
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2 publications · 125 citations
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2 publications · 38 citations
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2 publications · 229 citations
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2 publications · 130 citations
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