Genetic algorithms: Bridging the convergence gap

DOI10.1016/S0304-3975(99)00090-0zbMath0938.68080WikidataQ62637482 ScholiaQ62637482MaRDI QIDQ1978366

Yanyan Li

Publication date: 4 June 2000

Published in: Theoretical Computer Science (Search for Journal in Brave)

zbMATH Keywords

convergencesimulated annealinggenetic algorithmsreduction operatorinhomogeneous Markov chain

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

Theory of genetic algorithms. II: Models for genetic operators over the string-tensor representation of populations and convergence to global optima for arbitrary fitness function under scaling ⋮ Multistage non homogeneous Markov chain modeling of the non homogeneous genetic algorithm and convergence results ⋮ The quasispecies regime for the simple genetic algorithm with ranking selection

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