Firefly Algorithm, Levy Flights and Global Optimization

被引：718
作者：
Yang, Xin-She [1 ]
机构：
[1] Univ Cambridge, Dept Engn, Cambridge CB2 1PZ, England
来源：
RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXVI: INCORPORATING APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XVII | 2010年
关键词：
SEARCH;
D O I：
10.1007/978-1-84882-983-1_15
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Nature-inspired algorithms such as Particle Swarm Optimization and Firefly Algorithm are among the most powerful algorithms for optimization. In this paper, we intend to formulate a new metaheuristic algorithm by combining Levy flights with the search strategy via the Firefly Algorithm. Numerical studies and results suggest that the proposed Levy-flight firefly algorithm is superior to existing metaheuristic algorithms. Finally implications for further research and wider applications will be discussed.
引用
收藏
页码：209 / 218
页数：10
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