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
This paper deals with the concept of including the popular genetic algorithm operator, cross-over and root mean square (RMS) variants into particle swarm optimization (PSO) algorithm to make the convergence faster. Two different PSO algorithms are considered in this paper: the first one is the conve...
| Main Authors: | , |
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| Format: | Article |
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ELSEVIER SCIENCE BV
2008
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2779/ |