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Editorial of the special issue on differential evolution

Abstract

Differential Evolution (DE) is a population-based metaheuristic for addressing optimization problems [[1], [2], [3]]. The algorithm processes a population of candidate solutions by performing two operations. The first operation, namely mutation, is the calculation of a provisional offspring vector by linear combination of other population individuals. The second operation, the crossover, is the computation of an offspring individual by composing some design variables of the provisional offspring individual with those of a parent. The algorithm replaces the candidate solutions by applying a one-to-one logic.

Journal Article Type Editorial
Publication Date Nov 1, 2019
Journal Swarm and Evolutionary Computation
Print ISSN 2210-6502
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 50
Article Number 100583
APA6 Citation Brest, J., & Neri, F. (2019). Editorial of the special issue on differential evolution. Swarm and Evolutionary Computation, 50, https://doi.org/10.1016/j.swevo.2019.100583
DOI https://doi.org/10.1016/j.swevo.2019.100583
Publisher URL https://www.sciencedirect.com/science/article/pii/S2210650219308053
Additional Information This article is maintained by: Elsevier; Article Title: Editorial of the special issue on differential evolution; Journal Title: Swarm and Evolutionary Computation; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.swevo.2019.100583; Content Type: simple-article; Copyright: © 2019 Published by Elsevier B.V.
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