A cooperative swarm intelligence algorithm for multi-objective discrete optimization with application to the knapsack problem-Reference-Cited by-同舟云学术

A cooperative swarm intelligence algorithm for multi-objective discrete optimization with application to the knapsack problem

Published:2018-01 Issue:1 Volume:264 Page:74-88
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Zouache Djaafar,Moussaoui Abdelouahab,Ben Abdelaziz Fouad

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modelling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference61 articles.

1. A hybrid heuristic for multiobjective knapsack problems;Abdelaziz,1999

2. Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications;Auger;Theoretical Computer Science,2012

3. A multi-objective cat swarm optimization algorithm for workflow scheduling in cloud computing environment;Bilgaiyan,2015

4. A binary particle swarm optimization algorithm inspired by multi-level organizational learning behavior;Bin;European Journal of Operational Research,2012

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

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