Editorial of the special issue on differential evolution

Brest, Janez; Neri, Ferrante

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.

Citation

Brest, J., & Neri, F. (2019). Editorial of the special issue on differential evolution. Swarm and Evolutionary Computation, 50, Article 100583. https://doi.org/10.1016/j.swevo.2019.100583

• Journal Article Type: Editorial
• Acceptance Date: Sep 18, 2019
• Online Publication Date: Oct 31, 2019
• Publication Date: Nov 1, 2019
• Deposit Date: Jan 18, 2020
• Journal: Swarm and Evolutionary Computation
• Print ISSN: 2210-6502
• Electronic ISSN: 2210-6510
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 50
• Article Number: 100583
• DOI: https://doi.org/10.1016/j.swevo.2019.100583
• Public URL: https://nottingham-repository.worktribe.com/output/3705315
• 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.