DocumentCode :
239350
Title :
A review of population initialization techniques for evolutionary algorithms
Author :
Kazimipour, Borhan ; Xiaodong Li ; Qin, A.K.
Author_Institution :
Sch. of Comput. Sci. & Inf. Technol., RMIT Univ., Melbourne, VIC, Australia
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
2585
Lastpage :
2592
Abstract :
Although various population initialization techniques have been employed in evolutionary algorithms (EAs), there lacks a comprehensive survey on this research topic. To fill this gap and attract more attentions from EA researchers to this crucial yet less explored area, we conduct a systematic review of the existing population initialization techniques. Specifically, we categorize initialization techniques from three exclusive perspectives, i.e., randomness, compositionality and generality. Characteristics of the techniques belonging to each category are carefully analysed to further lead to several sub-categories. We also discuss several open issues related to this research topic, which demands further in-depth investigations.
Keywords :
evolutionary computation; random processes; EA researchers; compositionality; evolutionary algorithms; generality; open issues; population initialization techniques; Chaos; Educational institutions; Evolutionary computation; Generators; Optimization; Sociology; 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.2014.6900618
Filename :
6900618
Link To Document :
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