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http://hdl.handle.net/2080/372
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| Title: | Parallel Genetic Algorithm Based Crowding Scheme Using Neighbouring Net Topology |
| Authors: | Nanda, P K
Kanungo, P
Muni, D P |
| Keywords: | Parallel Genetic Algorithm
Crowding
Clustering |
| Issue Date: | 2003 |
| Citation: | Proceedings of the Sixth International Conference on Information Technology, 22-25 December 2003, Bhubaneswar, P 583-585 |
| Abstract: | In this article, the notion of crowding is employed
to maintain stable subpopulations at niches of a multi
modal nonlinear function. In this work, we have attempted
to parallelize the crowding scheme and hence, propose new
concepts of net topology while devising the parallel scheme
based on coarse grained parallelization. Besides, we have also
proposed a new interconnection model which takes care of
the intra deme migration. The use of Generalized Crossover
(GC) operator is found to be superior to that of the scheme
using two point crossover operators. The effect of different
net topology, based on the neighbourhood structure, upon the
solution is investigated. It was found that the net topology with
second order neighbourhood structure is good enough to yield
satisfactory results. |
| Description: | Copyright for this article belongs to the proceedings publisher |
| URI: | http://hdl.handle.net/2080/372 |
| Appears in Collections: | Conference Papers
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| Nandapk-CIT-2003.pdf | | 65Kb | Adobe PDF | View/Open |
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