6533b853fe1ef96bd12add4c

RESEARCH PRODUCT

Diversity Management in Memetic Algorithms

Ferrante Neri

subject

education.field_of_studyTheoretical computer scienceComputer sciencebusiness.industryPopulationContext (language use)Swarm intelligenceEvolutionary computationMemetic algorithmLocal search (optimization)educationbusinessPremature convergenceDiversity (business)

description

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].

yearjournalcountryeditionlanguage
2012-01-01
https://doi.org/10.1007/978-3-642-23247-3_10