Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems

1 September 1999

journal article
Published by MIT Press in Evolutionary Computation

Vol. 7 (3), 205-230
https://doi.org/10.1162/evco.1999.7.3.205

Abstract

In this paper, we study the problem features that may cause a multi-objective genetic algorithm (GA) difficulty in converging to the true Pareto-optimal front. Identification of such features helps...

Keywords

GENETIC ALGORITHMS
MULTI-OBJECTIVE OPTIMIZATION
NICHING
PARETO-OPTIMALITY
PROBLEM DIFFICULTIES
TEST PROBLEMS.

This publication has 2 references indexed in Scilit:

An Overview of Evolutionary Algorithms in Multiobjective Optimization
Evolutionary Computation, 1995
Sufficient conditions for deceptive and easy binary functions
Annals of Mathematics and Artificial Intelligence, 1994

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