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Wolf Pack Algorithm for Unconstrained Global Optimization
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-09
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
The wolf pack unites and cooperates closely to hunt for the prey in the Tibetan Plateau, which shows wonderful skills and amazing strategies.
Inspired by their prey hunting behaviors and distribution mode, we abstracted three intelligent behaviors, scouting, calling, and besieging, and two intelligent rules, winner-take-all generation rule of lead wolf and stronger-survive renewing rule of wolf pack.
Then we proposed a new heuristic swarm intelligent method, named wolf pack algorithm (WPA).
Experiments are conducted on a suit of benchmark functions with different characteristics, unimodal/multimodal, separable/nonseparable, and the impact of several distance measurements and parameters on WPA is discussed.
What is more, the compared simulation experiments with other five typical intelligent algorithms, genetic algorithm, particle swarm optimization algorithm, artificial fish swarm algorithm, artificial bee colony algorithm, and firefly algorithm, show that WPA has better convergence and robustness, especially for high-dimensional functions.
American Psychological Association (APA)
Wu, Hu-Sheng& Zhang, Feng-Ming. 2014. Wolf Pack Algorithm for Unconstrained Global Optimization. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-473700
Modern Language Association (MLA)
Wu, Hu-Sheng& Zhang, Feng-Ming. Wolf Pack Algorithm for Unconstrained Global Optimization. Mathematical Problems in Engineering No. 2014 (2014), pp.1-17.
https://search.emarefa.net/detail/BIM-473700
American Medical Association (AMA)
Wu, Hu-Sheng& Zhang, Feng-Ming. Wolf Pack Algorithm for Unconstrained Global Optimization. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-473700
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-473700