An improved imperialist competitive algorithm for multi-objective optimization-Reference-Cited by-同舟云学术

An improved imperialist competitive algorithm for multi-objective optimization

Published:2016-02-18 Issue:11 Volume:48 Page:1823-1844
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Bilel Najlawi¹,Mohamed Nejlaoui¹,Zouhaier Affi¹,Lotfi Romdhane²

Affiliation:

1. Mechanical Engineering Laboratory, National School of Engineers, University of Monastir, Monastir, Tunisia

2. Department of Mechanical Engineering, American University of Sharjah, Sharjah, UAE

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2016.1141204

Reference37 articles.

1. Multi-Objective Differential Evolution Algorithm for Solving Engineering Problems

2. A novel imperialist competitive algorithm for generalized traveling salesman problems

3. Atashpaz-Gargari, E., and C. Lucas. 2007. “Imperialist Competitive Algorithm: An Algorithm for Optimization Inspired by Imperialistic Competition.” IEEE Cong. Evol. Comput., Singapore, Sept. 25–28: 4661–4667.

4. Cheng, R., and Y. Jin. 2014. “A Comparative Swarm Optimizer for Large Scale Optimization.” IEEE transactions on cybernetics: 1–14.

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