DocumentCode :
1922947
Title :
Genetic Algorithms: Basic principles and applications
Author :
Murthy, C.A.
Author_Institution :
Machine Intell. Unit, Indian Stat. Inst., Kolkata, India
fYear :
2012
fDate :
2-3 March 2012
Firstpage :
22
Lastpage :
22
Abstract :
Summary form only given. Genetic Algorithms are a part of Soft Computing Techniques that deal with function optimization. The basic principles of Genetic Algorithms are stated. Its stochastic nature and various genetic operators are discussed in this paper. Some basic issues (e.g., convergence) related to these algorithms are also discussed.
Keywords :
convergence; genetic algorithms; convergence issue; function optimization; genetic algorithm; soft computing technique;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Signal Processing (CISP), 2012 2nd National Conference on
Conference_Location :
Guwahati, Assam
Print_ISBN :
978-1-4577-0719-3
Type :
conf
DOI :
10.1109/NCCISP.2012.6189670
Filename :
6189670
Link To Document :
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