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Differential Evolution based Multiobjective Optimization-A Review

by Deepa Sreedhar, Binu Rajan M .r
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 63 - Number 15
Year of Publication: 2013
Authors: Deepa Sreedhar, Binu Rajan M .r
10.5120/10541-5019

Deepa Sreedhar, Binu Rajan M .r . Differential Evolution based Multiobjective Optimization-A Review. International Journal of Computer Applications. 63, 15 ( February 2013), 14-19. DOI=10.5120/10541-5019

@article{ 10.5120/10541-5019,
author = { Deepa Sreedhar, Binu Rajan M .r },
title = { Differential Evolution based Multiobjective Optimization-A Review },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 63 },
number = { 15 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 14-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume63/number15/10541-5019/ },
doi = { 10.5120/10541-5019 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:14:35.804676+05:30
%A Deepa Sreedhar
%A Binu Rajan M .r
%T Differential Evolution based Multiobjective Optimization-A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 63
%N 15
%P 14-19
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multiobjective differential evolution(MDE) is a powerful, stochastic multi objective optimization(MOO) algorithm based on Differential Evolution(DE) that aims to optimize a problem that involves multiple objective functions. The MDE has many applications in the real world including supply chain planning and management. This paper presents a review of some multi objective (back propagation) differential evolution algorithms.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Differential Evolution Non-dominated sorting orthogonal crossover Fitness sharing random selection elitist selection

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