THE PARETO DIFFERENTIAL EVOLUTION ALGORITHM-Reference-Cited by-同舟云学术

THE PARETO DIFFERENTIAL EVOLUTION ALGORITHM

Published:2002-12 Issue:04 Volume:11 Page:531-552
ISSN:0218-2130
Container-title:International Journal on Artificial Intelligence Tools
language:en
Short-container-title:Int. J. Artif. Intell. Tools

Author:

ABBASS H. A.¹,SARKER R.¹

Affiliation:

1. School of Computer Science, University of New South Wales, University College, ADFA Campus, Northcott Drive, Canberra ACT, 2600, Australia

Abstract

The use of evolutionary algorithms (EAs) to solve problems with multiple objectives (known as Vector Optimization Problems (VOPs)) has attracted much attention recently. Being population based approaches, EAs offer a means to find a group of pareto-optimal solutions in a single run. Differential Evolution (DE) is an EA that was developed to handle optimization problems over continuous domains. The objective of this paper is to introduce a novel Pareto Differential Evolution (PDE) algorithm to solve VOPs. The solutions provided by the proposed algorithm for five standard test problems, is competitive to nine known evolutionary multiobjective algorithms for solving VOPs.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Artificial Intelligence

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218213002001039

Reference5 articles.

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4. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach

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