DocumentCode :
617935
Title :
A new gravitational search algorithm using fuzzy logic to parameter adaptation
Author :
Sombra, Alberto ; Valdez, Fevrier ; Melin, Patricia ; Castillo, Oscar
Author_Institution :
Tijuana Inst. of Technol., Tijuana, Mexico
fYear :
2013
fDate :
20-23 June 2013
Firstpage :
1068
Lastpage :
1074
Abstract :
In this paper we propose a new Gravitational Search Algorithm (GSA) using fuzzy logic to change alpha parameter and give a different gravitation and acceleration to each agent in order to improve its performance, we use this new approach for mathematical functions and present a comparison with original approach.
Keywords :
fuzzy logic; multi-agent systems; search problems; GSA; agent acceleration; agent gravitation; alpha parameter; fuzzy logic; gravitational search algorithm; mathematical functions; parameter adaptation; Acceleration; Equations; Fuzzy logic; Gravity; Sociology; Statistics; GSA; adaptation; algorithm; fuzzy; gravitational; logic; optimization; parameter; search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2013 IEEE Congress on
Conference_Location :
Cancun
Print_ISBN :
978-1-4799-0453-2
Electronic_ISBN :
978-1-4799-0452-5
Type :
conf
DOI :
10.1109/CEC.2013.6557685
Filename :
6557685
Link To Document :
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