On the improved performances of the particle swarm optimization algorithms with adaptive parameters, cross-over operators and root mean square (RMS) variants for computing optimal control of a class of hybrid systems-Reference-Cited by-同舟云学术

On the improved performances of the particle swarm optimization algorithms with adaptive parameters, cross-over operators and root mean square (RMS) variants for computing optimal control of a class of hybrid systems

Published:2008-01 Issue:1 Volume:8 Page:324-336
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Arumugam M. Senthil,Rao M.V.C.

Publisher

Elsevier BV

Subject

Software

Reference23 articles.

1. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficient;Ratnaweera;IEEE Trans. Evol. Comput.,2004

2. Swarm Intelligence: From Natural to Artificial Systems;Bonabeau,1999

3. Particle swarm optimization;Kennedy,1995

4. Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance;Kennedy,1999

5. Novel hybrid approach for real coded genetic algorithm to compute the optimal control of a single stage hybrid manufacturing systems;Senthil Arumugam;Int. J. Comput. Intell.,2004

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