DocumentCode :
406173
Title :
Evolutionary algorithms for optimization: do we get effective solutions?
Author :
Sarker, Ruhul A.
Author_Institution :
Sch. of ITEE, New South Wales Univ., Canberra, ACT, Australia
Volume :
1
fYear :
2003
fDate :
14-17 Dec. 2003
Firstpage :
404
Abstract :
Over the last two decades, evolutionary computation (EC) has shown tremendous success for solving complex real-world problems. Although the great success for EC was first recognized in the 1980s, the researchers in other domain are still confused about the acceptability of evolutionary algorithms (EAs) as optimization tool. The focal point for this confusion is the lack of convincing mathematical foundation, which is the strong basis of all conventional optimisation techniques. In this paper, besides our discussion on the advantages of EC over the conventional mathematical programming techniques, we attempt to answer several fundamental questions, which would help to convince the researchers in other disciplines. We provide facts and figures from the literature and from our own work to answer those questions.
Keywords :
evolutionary computation; mathematical programming; complex real-world problems; evolutionary algorithms; evolutionary computation; mathematical foundation; mathematical programming techniques; optimization; Application software; Australia; Computer science; Evolutionary computation; Information technology; Mathematical programming; Operations research; Optimization methods; Parallel processing; Problem-solving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
Type :
conf
DOI :
10.1109/ICNNSP.2003.1279294
Filename :
1279294
Link To Document :
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