A new optimization method: Dolphin echolocation

被引:367
|
作者
Kaveh, A. [1 ]
Farhoudi, N. [1 ]
机构
[1] Iran Univ Sci & Technol, Sch Civil Engn, Ctr Excellence Studies Struct Engn, Tehran 16, Iran
基金
美国国家科学基金会;
关键词
Optimization; Meta-heuristic; Dolphin echolocation; Optimal design; Trusses; Frames; HARMONY SEARCH; PARTICLE SWARM; ANT COLONY; OPTIMUM DESIGN; ALGORITHM;
D O I
10.1016/j.advengsoft.2013.03.004
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Nature has provided inspiration for most of the man-made technologies. Scientists believe that dolphins are the second to humans in smartness and intelligence. Echolocation is the biological sonar used by dolphins and several kinds of other animals for navigation and hunting in various environments. This ability of dolphins is mimicked in this paper to develop a new optimization method. There are different meta-heuristic optimization methods, but in most of these algorithms parameter tuning takes a considerable time of the user, persuading the scientists to develop ideas to improve these methods. Studies have shown that meta-heuristic algorithms have certain governing rules and knowing these rules helps to get better results. Dolphin echolocation takes advantages of these rules and outperforms many existing optimization methods, while it has few parameters to be set. The new approach leads to excellent results with low computational efforts. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:53 / 70
页数:18
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