Simulation Study of Swarm Intelligence Based on Life Evolution Behavior
Joint Authors
Liu, Yanmin
Bi, Ying
Sui, Changling
Luo, Yuanfeng
Zhang, Zhuanzhou
Liu, Rui
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-29
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Swarm intelligence (SI) is a new evolutionary computation technology, and its performance efficacy is usually affected by each individual behavior in the swarm.
According to the genetic and sociological theory, the life evolution behavior process is influenced by the external and internal factors, so the mechanisms of external and internal environment change must be analyzed and explored.
Therefore, in this paper, we used the thought of the famous American genetic biologist Morgan, “life = DNA + environment + interaction of environment + gene,” to propose the mutation and crossover operation of DNA fragments by the environmental change to improve the performance efficiency of intelligence algorithms.
Additionally, PSO is a random swarm intelligence algorithm with the genetic and sociological property, so we embed the improved mutation and crossover operation to particle swarm optimization (PSO) and designed DNA-PSO algorithm to optimize single and multiobjective optimization problems.
Simulation experiments in single and multiobjective optimization problems show that the proposed strategies can effectively improve the performance of swarm intelligence.
American Psychological Association (APA)
Liu, Yanmin& Bi, Ying& Sui, Changling& Luo, Yuanfeng& Zhang, Zhuanzhou& Liu, Rui. 2015. Simulation Study of Swarm Intelligence Based on Life Evolution Behavior. Discrete Dynamics in Nature and Society،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1060449
Modern Language Association (MLA)
Liu, Yanmin…[et al.]. Simulation Study of Swarm Intelligence Based on Life Evolution Behavior. Discrete Dynamics in Nature and Society No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1060449
American Medical Association (AMA)
Liu, Yanmin& Bi, Ying& Sui, Changling& Luo, Yuanfeng& Zhang, Zhuanzhou& Liu, Rui. Simulation Study of Swarm Intelligence Based on Life Evolution Behavior. Discrete Dynamics in Nature and Society. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1060449
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1060449