Optimal Static and Self-Adjusting Parameter Choices for the (1+(λ,λ)) Genetic Algorithm

The ( 1 + ( λ , λ ) ) genetic algorithm proposed in Doerr et al. (Theor Comput Sci 567:87–104, 2015 ) is one of the few examples for which a super-constant speed-up of the expected optimization time through the use of crossover could be rigorously demonstrated. It was proven that the expected optim...

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Vydané v:	Algorithmica Ročník 80; číslo 5; s. 1658 - 1709
Hlavní autori:	Doerr, Benjamin, Doerr, Carola
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.05.2018 Springer Nature B.V Springer Verlag
Predmet:	Algorithm Analysis and Problem Complexity Algorithms Bias Computer Science Computer Systems Organization and Communication Networks Data Structures and Algorithms Data Structures and Information Theory Genetic algorithms Mathematics of Computing Mutation Neural and Evolutionary Computing Optimization Parameters Run time (computers) Special Issue on Genetic and Evolutionary Computation Theory of Computation Parameter choice Theory of randomized search heuristics Runtime analysis Parameter control Genetic algorithms
ISSN:	0178-4617, 1432-0541
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