Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolution-Reference-Cited by-同舟云学术

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Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolution

Published:2013-06 Issue:6 Volume:40 Page:1552-1563
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Dorronsoro Bernabé,Danoy Grégoire,Nebro Antonio J.,Bouvry Pascal

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modelling and Simulation,General Computer Science

Reference30 articles.

1. Evolutionary algorithms for solving multi-objective problems;Coello,2007

2. Multi-objective optimization using evolutionary algorithms;Deb,2001

3. A cooperative coevolutionary approach to function optimization;Potter,1994

4. hlcga: a hybrid competitive coevolutionary genetic algorithm;Danoy,2006

5. Overcoming partitioning in large ad hoc networks using genetic algorithms;Danoy,2009

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