Deb, Kalyanmoy ; Pratap, Amrit ; Moitra, Subrajyoti (2000) Mechanical component design for multiple ojectives using elitist non-dominated sorting GA Lecture Notes in Computer Science, 1917/2 . pp. 859-868. ISSN 0302-9743
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Official URL: http://www.springerlink.com/index/956660w121534114...
Related URL: http://dx.doi.org/10.1007/3-540-45356-3_84
Abstract
In this paper, we apply an elitist multi-objective genetic algorithm for solving mechanical component design problems with multiple objectives. Although there exists a number of classical techniques, evolutionary algorithms (EAs) have an edge over the classical methods in that they can find multiple Pareto-optimal solutions in one single simulation run. Recently, we proposed a much improved version of the originally proposed non-dominated sorting GA (we call NSGA-II) in that it is computationally faster, uses an elitist strategy, and it does not require fixing any niching parameter. In this paper, we use NSGA-II to handle constraints by using two implementations. On four mechanical component design problems borrowed from the literature, we show that the NSGA-II can find a much wider spread of solutions than classical methods and the NSGA. The results are encouraging and suggests immediate application of the proposed method to other more complex engineering design problems.
Item Type: | Article |
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Source: | Copyright of this article belongs to Springer. |
ID Code: | 83522 |
Deposited On: | 21 Feb 2012 07:09 |
Last Modified: | 19 May 2016 00:20 |
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