Self-Adaptive Mutation is a mutation operator in evolutionary computation that belongs to the class of adaptive search methods and is distinguished by its capacity to dynamically adjust mutation parameters through mechanisms encoded within the individuals themselves, thereby enabling the optimization process to autonomously regulate the exploration–exploitation balance during evolution.
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Exploring dynamic self-adaptive populations in differential evolution
Jason Teo · Soft Computing · 2005 · 358 citations
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National Taiwan University
Taipei, Taiwan
8 h-index
16 publications
347 citations
University of Maribor
Maribor, Slovenia
6 h-index
20 publications
2.1K citations
Sichuan University
Chengdu, China
5 h-index
12 publications
472 citations
East China University of Science and Technology
Shanghai, China
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9 publications
751 citations
Leiden University
Leiden, The Netherlands
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11 publications
182 citations
National University of Defense Technology
Changsha, China
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359 citations
Laboratoire d'Informatique de l'École Polytechnique
Palaiseau, France
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5 publications
204 citations
Sun Yat-sen University
Guangzhou, China
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5 publications
94 citations
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3 publications · 827 citations
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- Information Sciences
3 publications · 145 citations
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- Applied Soft Computing
3 publications · 182 citations
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