Particle Swarm Optimization - The Fundamental Insight |
Author(s): |
| Dr. G. H. Upadhyay , L. D. College of Engineering Ahmedabad, Gujarat, India; Prof. B. C. Khatri, L. D. College of Engineering Ahmedabad, Gujarat, India; Prof. U. V. Shah, L. D. College of Engineering Ahmedabad, Gujarat, India; Mr. J. R. Vaghela, L. D. College of Engineering Ahmedabad, Gujarat, India; Mr. Nanji N. Chaudhary, L. D. College of Engineering Ahmedabad, Gujarat, India |
Keywords: |
| Genetic algorithms, Simulated annealing, Particle swarm optimization, ABC, SFA, BBO. |
Abstract |
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Optimization is the act of obtaining the best result under given circumstances. In design, construction, and maintenance of any engineering system, engineers have to take many technological and managerial decisions at several stages. The ultimate goal of all such decisions is either to minimize the effort required or to maximize the desired benefit. Since the effort required or the benefit desired in any practical situation can be expressed as a function of certain decision variables. |
Other Details |
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Paper ID: IJSRDV1I10021 Published in: Volume : 1, Issue : 10 Publication Date: 01/01/2014 Page(s): 2131-2134 |
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