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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Bibliographic Details
Published in:	Algorithmica Vol. 80; no. 5; pp. 1658 - 1709
Main Authors:	Doerr, Benjamin, Doerr, Carola
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.05.2018 Springer Nature B.V Springer Verlag
Subjects:	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
Online Access:	Get full text
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