DocumentCode
239291
Title
Fireworks algorithm with differential mutation for solving the CEC 2014 competition problems
Author
Chao Yu ; Kelley, Lingchen ; Shaoqiu Zheng ; Ying Tan
Author_Institution
Dept. of Machine Intell., Peking Univ., Beijing, China
fYear
2014
fDate
6-11 July 2014
Firstpage
3238
Lastpage
3245
Abstract
The idea of fireworks algorithm (FWA) is inspired by the fireworks explosion in the sky at night. When a firework explodes, a shower of sparks appear around it. In this way, the adjacent area of the firework is searched. By controlling the amplitude of the explosion, the ability of local search for FWA is guaranteed. The way of fireworks algorithm searching the surrounding area can be further improved by differential mutation operator, forming an algorithm called FWA-DM. In this paper, the benchmark suite in the competition of congress of evolutionary computation (CEC) 2014 is used to test the performance of FWA-DM.
Keywords
evolutionary computation; CEC 2014 competition problems; FWA local search; FWA-DM algorithm; congress of evolutionary computation; differential mutation operator; fireworks algorithm; Benchmark testing; Explosions; Optimization; Particle swarm optimization; Sociology; Sparks; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2014 IEEE Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6626-4
Type
conf
DOI
10.1109/CEC.2014.6900590
Filename
6900590
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