Parallel Genetic Algorithms
Parallel Genetic Algorithms is a class of genetic algorithms that extends the basic genetic algorithm framework by executing multiple subpopulations or evolutionary operations concurrently across parallel processing units, thereby enhancing search efficiency and solution diversity through inter-population migration and distributed computation.
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2017–2026
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Parallel Genetic AlgorithmPga
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A Survey of Parallel Genetic Algorithms
Erick Cantú‐Paz · 2000 · 903 citations
The parallel genetic algorithm as function optimizer
Heinz Mühlenbein, M. Schomisch, Jan Born · Parallel Computing · 1991 · 716 citations
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University of Illinois Urbana-Champaign, United States
8 publications · 3.2K citations
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Universidad de Málaga
Málaga, Spain
13 h-index
35 publications
1.9K citations
University of Illinois Urbana-Champaign
Urbana, United States
12 h-index
27 publications
3.3K citations
Dalian University of Technology
Dalian, China
8 h-index
20 publications
544 citations

Universidad de Extremadura
Badajoz, Spain
8 h-index
18 publications
387 citations

University of Calabria
Rende, Italy
7 h-index
21 publications
912 citations
University College London
London, United Kingdom
7 h-index
8 publications
157 citations

University of Birmingham
Birmingham, United Kingdom
7 h-index
12 publications
1.1K citations
Stanford University
Stanford, United States
7 h-index
10 publications
436 citations
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Conference · 14 publications · 3.8K citations
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11 publications · 1.4K citations
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10 publications · 549 citations
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10 publications · 456 citations
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