Adaptive Central Force Optimization Algorithm Based on the Stability Analysis
Joint Authors
Feng, Zhiguang
Wang, Bo
Qian, Weiyi
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-26
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In order to enhance the convergence capability of the central force optimization (CFO) algorithm, an adaptive central force optimization (ACFO) algorithm is presented by introducing an adaptive weight and defining an adaptive gravitational constant.
The adaptive weight and gravitational constant are selected based on the stability theory of discrete time-varying dynamic systems.
The convergence capability of ACFO algorithm is compared with the other improved CFO algorithm and evolutionary-based algorithm using 23 unimodal and multimodal benchmark functions.
Experiments results show that ACFO substantially enhances the performance of CFO in terms of global optimality and solution accuracy.
American Psychological Association (APA)
Qian, Weiyi& Wang, Bo& Feng, Zhiguang. 2015. Adaptive Central Force Optimization Algorithm Based on the Stability Analysis. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1075039
Modern Language Association (MLA)
Qian, Weiyi…[et al.]. Adaptive Central Force Optimization Algorithm Based on the Stability Analysis. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1075039
American Medical Association (AMA)
Qian, Weiyi& Wang, Bo& Feng, Zhiguang. Adaptive Central Force Optimization Algorithm Based on the Stability Analysis. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1075039
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1075039