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A Cooperative Harmony Search Algorithm for Function Optimization
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-06
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Harmony search algorithm (HS) is a new metaheuristic algorithm which is inspired by a process involving musical improvisation.
HS is a stochastic optimization technique that is similar to genetic algorithms (GAs) and particle swarm optimizers (PSOs).
It has been widely applied in order to solve many complex optimization problems, including continuous and discrete problems, such as structure design, and function optimization.
A cooperative harmony search algorithm (CHS) is developed in this paper, with cooperative behavior being employed as a significant improvement to the performance of the original algorithm.
Standard HS just uses one harmony memory and all the variables of the object function are improvised within the harmony memory, while the proposed algorithm CHS uses multiple harmony memories, so that each harmony memory can optimize different components of the solution vector.
The CHS was then applied to function optimization problems.
The results of the experiment show that CHS is capable of finding better solutions when compared to HS and a number of other algorithms, especially in high-dimensional problems.
American Psychological Association (APA)
Li, Gang& Wang, Qingzhong. 2014. A Cooperative Harmony Search Algorithm for Function Optimization. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-483077
Modern Language Association (MLA)
Li, Gang& Wang, Qingzhong. A Cooperative Harmony Search Algorithm for Function Optimization. Mathematical Problems in Engineering No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-483077
American Medical Association (AMA)
Li, Gang& Wang, Qingzhong. A Cooperative Harmony Search Algorithm for Function Optimization. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-483077
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-483077