DocumentCode :
3019642
Title :
A New Adaptive Real-Coded Memetic Algorithm
Author :
Nobahari, Hadi ; Darabi, Davoud
Author_Institution :
Dept. of Aerosp. Eng., Sharif Univ. of Technol., Tehran, Iran
Volume :
1
fYear :
2009
fDate :
7-8 Nov. 2009
Firstpage :
368
Lastpage :
372
Abstract :
A new adaptive real-coded memetic algorithm has been developed for continuous optimization problems. The proposed algorithm utilizes an adaptive variant of continuous ant colony system for local search. Here new adaptive strategies are utilized for online tuning of the number of local search steps and the width of the search interval over each dimension of the search space. A new crossover scheme is also developed and utilized. The new algorithm has been examined with CEC 2005 benchmarks and compared with three other state of the art works in the field. The comparisons have showed relatively better results.
Keywords :
genetic algorithms; search problems; CEC 2005 benchmarks; adaptive local search; adaptive real-coded memetic algorithm; continuous ant colony system; continuous optimization problems; genetic algorithm; Ant colony optimization; Artificial intelligence; Biological cells; Computational intelligence; Evolutionary computation; Genetic algorithms; Performance analysis; Proposals; Steady-state; Testing; Adaptive Local Search; Continuous Ant Colony System; Memetic Algorithm; Real-coded; Steady State Genetic Algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
Type :
conf
DOI :
10.1109/AICI.2009.259
Filename :
5376228
Link To Document :
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