Lifecycle-Based Swarm Optimization Method for Numerical Optimization
Joint Authors
Shen, Hai
Zhu, Yunlong
Liang, Xiaodan
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-11
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Bioinspired optimization algorithms have been widely used to solve various scientific and engineering problems.
Inspired by biological lifecycle, this paper presents a novel optimization algorithm called lifecycle-based swarm optimization (LSO).
Biological lifecycle includes four stages: birth, growth, reproduction, and death.
With this process, even though individual organism died, the species will not perish.
Furthermore, species will have stronger ability of adaptation to the environment and achieve perfect evolution.
LSO simulates Biological lifecycle process through six optimization operators: chemotactic, assimilation, transposition, crossover, selection, and mutation.
In addition, the spatial distribution of initialization population meets clumped distribution.
Experiments were conducted on unconstrained benchmark optimization problems and mechanical design optimization problems.
Unconstrained benchmark problems include both unimodal and multimodal cases the demonstration of the optimal performance and stability, and the mechanical design problem was tested for algorithm practicability.
The results demonstrate remarkable performance of the LSO algorithm on all chosen benchmark functions when compared to several successful optimization techniques.
American Psychological Association (APA)
Shen, Hai& Zhu, Yunlong& Liang, Xiaodan. 2014. Lifecycle-Based Swarm Optimization Method for Numerical Optimization. Discrete Dynamics in Nature and Society،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1017968
Modern Language Association (MLA)
Shen, Hai…[et al.]. Lifecycle-Based Swarm Optimization Method for Numerical Optimization. Discrete Dynamics in Nature and Society No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1017968
American Medical Association (AMA)
Shen, Hai& Zhu, Yunlong& Liang, Xiaodan. Lifecycle-Based Swarm Optimization Method for Numerical Optimization. Discrete Dynamics in Nature and Society. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1017968
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1017968