Differential Evolution for Solving Multi-Objective Optimization Problems (2004)
| Venue: | no.2, World Scientific |
| Citations: | 3 - 0 self |
BibTeX
@INPROCEEDINGS{Sarker04differentialevolution,
author = {Ruhul Sarker and Hussein A. Abbass},
title = {Differential Evolution for Solving Multi-Objective Optimization Problems},
booktitle = {no.2, World Scientific},
year = {2004},
pages = {225--240}
}
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Abstract
The use of evolutionary strategies (ESs) to solve problems with multiple objectives (known as Vector Optimization Problems (VOPs)) has attracted much attention recently. Being population based approaches, ESs offer a means to find a set of Pareto-optimal solutions in a single run. Differential Evolution (DE) is an ES that was developed to handle optimization problems over continuous do-mains. The objective of this paper is to introduce a novel Pareto–frontier Differential Evolution (PDE) algorithm to solve VOPs. The solutions provided by the proposed algorithm for two standard test prob-lems, outperform the Strength Pareto Evolutionary Algorithm, one of the state-of-the-art evolutionary algorithm for solving VOPs. 1
