@InProceedings{10.1007/3-540-44719-9_20,
author="Deb, Kalyanmoy
and Pratap, Amrit
and Meyarivan, T.",
editor="Zitzler, Eckart
and Thiele, Lothar
and Deb, Kalyanmoy
and Coello Coello, Carlos Artemio
and Corne, David",
title="Constrained Test Problems for Multi-objective Evolutionary Optimization",
booktitle="Evolutionary Multi-Criterion Optimization",
year="2001",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="284--298",
abstract="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.",
isbn="978-3-540-44719-1"
}