A Free Search Krill Herd Algorithm for Functions Optimization
Joint Authors
Li, Liangliang
Xie, Jian
Zhou, Yongquan
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-19
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
To simulate the freedom and uncertain individual behavior of krill herd, this paper introduces the opposition based learning (OBL) strategy and free search operator into krill herd optimization algorithm (KH) and proposes a novel opposition-based free search krill herd optimization algorithm (FSKH).
In FSKH, each krill individual can search according to its own perception and scope of activities.
The free search strategy highly encourages the individuals to escape from being trapped in local optimal solution.
So the diversity and exploration ability of krill population are improved.
And FSKH can achieve a better balance between local search and global search.
The experiment results of fourteen benchmark functions indicate that the proposed algorithm can be effective and feasible in both low-dimensional and high-dimensional cases.
And the convergence speed and precision of FSKH are higher.
Compared to PSO, DE, KH, HS, FS, and BA algorithms, the proposed algorithm shows a better optimization performance and robustness.
American Psychological Association (APA)
Li, Liangliang& Zhou, Yongquan& Xie, Jian. 2014. A Free Search Krill Herd Algorithm for Functions Optimization. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-21.
https://search.emarefa.net/detail/BIM-509570
Modern Language Association (MLA)
Li, Liangliang…[et al.]. A Free Search Krill Herd Algorithm for Functions Optimization. Mathematical Problems in Engineering No. 2014 (2014), pp.1-21.
https://search.emarefa.net/detail/BIM-509570
American Medical Association (AMA)
Li, Liangliang& Zhou, Yongquan& Xie, Jian. A Free Search Krill Herd Algorithm for Functions Optimization. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-21.
https://search.emarefa.net/detail/BIM-509570
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509570