dc.contributor.author |
Makhotilo, KV |
en |
dc.date.accessioned |
2014-03-01T02:04:28Z |
|
dc.date.available |
2014-03-01T02:04:28Z |
|
dc.date.issued |
2011 |
en |
dc.identifier.issn |
1064-2315 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/29437 |
|
dc.subject |
diploid genetic algorithm |
en |
dc.subject |
optimization |
en |
dc.subject |
perfection |
en |
dc.subject |
probabilistic reduction |
en |
dc.subject |
duration of existence of individual |
en |
dc.subject |
population size |
en |
dc.subject |
Haldane's estimation of cost for substitute |
en |
dc.subject |
demographic statistics |
en |
dc.subject |
efficiency of method |
en |
dc.subject |
problems of synthesis |
en |
dc.subject |
forward directed neural networks |
en |
dc.subject.other |
NEURAL NETWORKS |
en |
dc.title |
Diploid Genetic Algorithm with Mortality |
en |
heal.type |
journalArticle |
en |
heal.language |
English |
en |
heal.publicationDate |
2011 |
en |
heal.abstract |
The method of perfection of diploid genetic algorithm of optimization by means of probabilistic reduction of duration of existence of individual was suggested. Average duration of individual life is defined depending on population size, based on Haldane's estimation of cost for substitute. Law and parameters of distribution of probability of individual mortality were determined by data of demographic statistics. We showed efficiency of method on development of problems of synthesis of forward directed neural networks. |
en |
heal.publisher |
BEGELL HOUSE INC |
en |
heal.journalName |
JOURNAL OF AUTOMATION AND INFORMATION SCIENCES |
en |
dc.identifier.isi |
ISI:000293035900006 |
en |
dc.identifier.volume |
43 |
en |
dc.identifier.issue |
6 |
en |
dc.identifier.spage |
60 |
en |
dc.identifier.epage |
73 |
en |