A hybrid multi-objective evolutionary approach to engineering shape design

Deb, Kalyanmoy ; Goel, Tushar (2001) A hybrid multi-objective evolutionary approach to engineering shape design Lecture Notes in Computer Science, 1993/2 . pp. 385-399. ISSN 0302-9743

PDF - Author Version

Official URL: http://www.springerlink.com/index/0CY6RPHM1A4JC3U0...

Related URL: http://dx.doi.org/10.1007/3-540-44719-9_27


Evolutionary optimization algorithms work with a population of solutions, instead of a single solution. Since multi-objective optimization problems give rise to a set of Pareto-optimal solutions, evolutionary optimization algorithms are ideal for handling multi-objective optimization problems. Over many years of research and application studies have produced a number of efficient multi-objective evolutionary algorithms (MOEAs), which are ready to be applied to real-world problems. In this paper, we propose a practical approach, which will enable an user to move closer to the true Pareto-optimal front and simultaneously reduce the size of the obtained non-dominated solution set. The efficacy of the proposed approach is demonstrated in solving a number of mechanical shape optimization problems, including a simply-supported plate design, a cantilever plate design, a hoister design, and a bicycle frame design. The results are interesting and suggest immediate application of the proposed technique in more complex engineering design problems.

Item Type:Article
Source:Copyright of this article belongs to Springer.
ID Code:83521
Deposited On:21 Feb 2012 07:09
Last Modified:19 May 2016 00:20

Repository Staff Only: item control page