Self-adaptive differential evolution with neighborhood search

Zhenyu YANG, Ke TANG, Xin YAO

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

373 Citations (Scopus)

Abstract

In this paper we investigate several self-adaptive mechanisms to improve our previous work on NSDE [1], which is a recent DE variant for numerical optimization. The selfadaptive methods originate from another DE variant, SaDE [2], but are remarkably modified and extended to fit our NSDE. And thus a Self-adaptive NSDE (SaNSDE) is proposed to improve NSDE's performance. Three self-adaptive mechanisms are utilized in SaNSDE: self-adaptation for two candidate mutation strategies, self-adaptations for controlling scale factor F and crossover rate CR, respectively. Experimental studies are carried out on a broad range of different benchmark functions, and the proposed SaNSDE has shown significant superiority over NSDE. © 2008 IEEE.
Original languageEnglish
Title of host publication2008 IEEE Congress on Evolutionary Computation, CEC 2008
Pages1110-1116
Number of pages7
DOIs
Publication statusPublished - Jun 2008
Externally publishedYes

Fingerprint

Dive into the research topics of 'Self-adaptive differential evolution with neighborhood search'. Together they form a unique fingerprint.

Cite this