Teaching–Learning-Based Optimization: An optimization method for continuous non-linear large scale problems-Reference-Cited by-同舟云学术

Teaching–Learning-Based Optimization: An optimization method for continuous non-linear large scale problems

Published:2012-01 Issue:1 Volume:183 Page:1-15
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Rao R.V.,Savsani V.J.,Vakharia D.P.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference33 articles.

1. Grenade explosion method – a novel tool for optimization of multimodal functions;Ahrari;Applied Soft Computing,2010

2. Artificial bee colony algorithm for large-scale problems and engineering design optimization;Akay;Journal of Intelligent Manufacturing,2010

3. A modified artificial bee colony (ABC) algorithm for constrained optimization problems;Akay;Applied Soft Computing,2010

4. A modified artificial bee colony algorithm for real-parameter optimization;Akay;Information Sciences,2010

5. On convergence of the multi-objective particle swarm optimizers;Chakraborty;Information Sciences,2011

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