Constrained test problems for multi-objective evolutionary optimization

Deb, Kalyanmoy ; Pratap, Amrit ; Meyarivan, T. (2001) Constrained test problems for multi-objective evolutionary optimization Lecture Notes in Computer Science, 1993/2001 . pp. 284-298. ISSN 0302-9743

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Over the past few years, researchers have developed a number of multi-objective evolutionary algorithms (MOEAs). Although most studies concentrated on solving unconstrained optimization problems, there exists a few studies where MOEAs have been extended to solve constrained optimization problems. As the constraint handling MOEAs gets popular, there is a need for developing test problems which can evaluate the algorithms well. In this paper, we review a number of test problems used in the literature and then suggest a set of tunable test problems for constraint handling. Finally, NSGA-II with an innovative constraint handling strategy is compared with a couple of existing algorithms in solving some of the test problems.

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ID Code:83519
Deposited On:21 Feb 2012 07:09
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