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