The Cellular Differential Evolution Based on Chaotic Local Search
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-18
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
To avoid immature convergence and tune the selection pressure in the differential evolution (DE) algorithm, a new differential evolution algorithm based on cellular automata and chaotic local search (CLS) or ccDE is proposed.
To balance the exploration and exploitation tradeoff of differential evolution, the interaction among individuals is limited in cellular neighbors instead of controlling parameters in the canonical DE.
To improve the optimizing performance of DE, the CLS helps by exploring a large region to avoid immature convergence in the early evolutionary stage and exploiting a small region to refine the final solutions in the later evolutionary stage.
What is more, to improve the convergence characteristics and maintain the population diversity, the binomial crossover operator in the canonical DE may be instead by the orthogonal crossover operator without crossover rate.
The performance of ccDE is widely evaluated on a set of 14 bound constrained numerical optimization problems compared with the canonical DE and several DE variants.
The simulation results show that ccDE has better performances in terms of convergence rate and solution accuracy than other optimizers.
American Psychological Association (APA)
Ding, Qingfeng& Zheng, Guoxin. 2015. The Cellular Differential Evolution Based on Chaotic Local Search. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1072952
Modern Language Association (MLA)
Ding, Qingfeng& Zheng, Guoxin. The Cellular Differential Evolution Based on Chaotic Local Search. Mathematical Problems in Engineering No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1072952
American Medical Association (AMA)
Ding, Qingfeng& Zheng, Guoxin. The Cellular Differential Evolution Based on Chaotic Local Search. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1072952
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1072952