An efficient multi-objective optimization algorithm based on swarm intelligence for engineering design-Reference-Cited by-同舟云学术

An efficient multi-objective optimization algorithm based on swarm intelligence for engineering design

Published:2007-01 Issue:1 Volume:39 Page:49-68
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Janga Reddy M.,Nagesh Kumar D.

Publisher

Informa UK Limited

Subject

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

Link

http://www.tandfonline.com/doi/pdf/10.1080/03052150600930493

Reference22 articles.

1. Coello, C. A.C. and Lechuga, M. S. MOPSO: A proposal for multiple objective particle swarm optimization. Proceedings of the Congress on Evolutionary Computation (CEC’2002). Honolulu, HI. Vol. 1, pp.1051–1056.

2. Handling multiple objectives with particle swarm optimization

3. Deb, K., Pratap, A. and Moitra, S. Mechanical component design for multiple objectives using elitist non-dominated sorting GA. Proceedings of the Parallel Problem Solving from Nature VI Conference. September16–20. pp.859–868. Paris

4. A fast and elitist multiobjective genetic algorithm: NSGA-II

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