Parallel Evolutionary Computation
Parallel Evolutionary Computation is an evolutionary optimization paradigm that belongs to the class of population-based metaheuristic algorithms, distinguished by the concurrent execution of evolutionary operations across multiple processing units or subpopulations to enhance search efficiency and solution quality.
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Publications
30.3K
Citations
1.4K
Authors
616
Institutions
Publications per year
2017–2026
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Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico
8 publications · 396 citations
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University of Illinois Urbana-Champaign
Urbana, United States
12 h-index
23 publications
3.4K citations

Universidad de Málaga
Málaga, Spain
12 h-index
25 publications
1.8K citations
TU Dortmund University
Dortmund, Germany
9 h-index
13 publications
299 citations

Universidad de Granada
Granada, Spain
9 h-index
25 publications
962 citations
University of Sheffield
Sheffield, United Kingdom
9 h-index
11 publications
432 citations

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

University of Birmingham
Birmingham, United Kingdom
8 h-index
9 publications
654 citations

Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional
Mexico City, Mexico
7 h-index
17 publications
743 citations
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11 publications · 370 citations
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11 publications · 2.2K citations
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Conference · 10 publications · 1.2K citations
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10 publications · 701 citations
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9 publications · 424 citations
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