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Article

Self-adaptive genetic algorithms with simulated binary crossover.

Evolutionary computation - 1 Jan 2001

Deb K, Beyer H G

Abstract excerpt

Self-adaptation is an essential feature of natural evolution. However, in the context of function optimization, self-adaptation features of evolutionary search algorithms have been explored mainly with evolution strategy (ES) and evolutionary programming (EP). In this paper, we demonstrate the self-adaptive feature of real-parameter genetic algorithms (GAs) using a simulated binary crossover (SBX) operator and...

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Identifiers

PMID: 11382356
DOI: 10.1162/106365601750190406

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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