Pedroso, J.P.
Describes Niche Search, a genetic-based optimisation approach which is characterised by an evolutionary search on two layers: the individual layer (which is comparable to searches described in other genetic algorithms), and the niche layer. Neither of these searches is directed: both individuals and niches evolve based on the selection of the fittest. The numerical results obtained by Niche Search are quite promising, as our implementation has successfully handled all the tests carried out. The computational performance is considerably better than that of other algorithms of the same family analysed in the literature.
Bibliographic reference |
Pedroso, J.P.. Niche Search: an evolutionary algorithm for global optimisation.Parallel Problem Solving from Nature - PPSN IV. International Conference on Evolutionary Computation. 5th Conference on Parallel Problem Solving from Nature (Berlin, Germany, 22-26 September 1996). In: Voigt, H.-M.; Ebeling, W.; Rechenberg, I.; Schwefel, H.-P.;, Parallel Problem Solving from Nature - PPSN IV. InternationalConference on Evolutionary Computation - The 4th InternationalConference on Parallel Problem Solving from Nature. Proceedings, Springer-verlag1996, p. 430-440 |
Permanent URL |
http://hdl.handle.net/2078.1/68219 |