Swarm directions embedded in fast evolutionary programming

200348 citationsJournal Article

Authors

Chengjian Wei · Southeast University

Zhenya He · Southeast University

Yifeng Zhang · Southeast University

Wenjiang Pei · Southeast University

Abstract

Evolutionary programming has been applied to many optimization problems. However, on some function optimization problems its convergence rate is slow. In this paper, swarm directions are embedded in fast evolutionary programming. The swarm direction for an individual supplies its place to be mutated. The experimental results show its effectiveness and efficiency.

Topics & Keywords

Metaheuristic Optimization Algorithms Research Evolutionary Algorithms and Applications Artificial Immune Systems Applications

Publication Details

Volume 2, pp. 1278-1283

DOI: 10.1109/cec.2002.1004427

Field-Weighted Citation Impact: 5.03

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Swarm directions embedded in fast evolutionary programming

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Abstract

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Publication Details