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DC Field | Value | Language |
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dc.contributor.author | Oyewola, David | - |
dc.contributor.author | Hakimi, Danladi | - |
dc.contributor.author | Yahaya, Yusuph | - |
dc.contributor.author | Bolarin, Gbolahan | - |
dc.date.accessioned | 2021-06-06T10:42:45Z | - |
dc.date.available | 2021-06-06T10:42:45Z | - |
dc.date.issued | 2016-11 | - |
dc.identifier.citation | David Oyewola, Danladi Hakimi, Amuda Yusuph Yahaya and Gbolahan Bolarin (2016) Performance of population size on Knapsack problem, New Trends in Mathematical Sciences (NTMSCI), No. 4, 253-258, http://dx.doi.org/10.20852/ntmsci.2016.111 | en_US |
dc.identifier.issn | 2147-5520 | - |
dc.identifier.uri | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/1701 | - |
dc.description.abstract | In this paper, an investigation of a performance of population size on the genetic algorithm (GA) for a knapsack problem is considered. Population sizes between 10 and 200 chromosomes in the population are tested. In order to obtain meaningful information about the performance of the population size, a considerable number of independent runs of the GA are performed. Accurate model parameters values are obtained in reasonable computational time. Further increase of the population size, does not improve the solution accuracy. Moreover, the computational time is increased significantly. | en_US |
dc.language.iso | en | en_US |
dc.publisher | New Trends in Mathematical Sciences | en_US |
dc.subject | Knapsack | en_US |
dc.title | Performance of population size on Knapsack problem | en_US |
dc.type | Article | en_US |
Appears in Collections: | Mathematics |
Files in This Item:
File | Description | Size | Format | |
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NTMSCI-2016-4-4.11585(1).pdf | http://dx.doi.org/10.20852/ntmsci.2016.111 | 113.69 kB | Adobe PDF | View/Open |
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