Handbook of Memetic Algorithms pp 153-165 | Cite as
Diversity Management in Memetic Algorithms
Introduction
In Evolutionary Computing, Swarm Intelligence, and more generally, populationbased algorithms diversity plays a crucial role in the success of the optimization. Diversity is a property of a group of individuals which indicates how much these individuals are alike. Clearly, a group composed of individuals similar to each other is said to have a low diversity whilst a group of individuals dissimilar to each other is said to have a high diversity. In computer science, in the context of population-based algorithms the concept of diversity is more specific: the diversity of a population is a measure of the number of different solutions present, see [239].
Keywords
Local Search Differential Evolution Memetic Algorithm Local Search Algorithm Premature ConvergencePreview
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