Convergence Properties of Two (μ + λ) Evolutionary Algorithms On OneMax and Royal Roads Test Functions

Computer Science – Neural and Evolutionary Computing

Scientific paper

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accepted for ECTA 2011

Scientific paper

We present a number of bounds on convergence time for two elitist
population-based Evolutionary Algorithms using a recombination operator
k-Bit-Swap and a mainstream Randomized Local Search algorithm. We study the
effect of distribution of elite species and population size.

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