A Human Community-Based Genetic Algorithm Model (Hcbga)

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dc.contributor.authorQasim Al-Madi, Nagham Azmi
dc.date.accessioned2018-08-20T02:31:00Z
dc.date.available2018-08-20T02:31:00Z
dc.date.issued2009-11
dc.description.abstractAs a general search model, Genetic Algorithm (GA) has proved its success in many applications. However, several researchers argue that GA has slow convergence. This shortfall is due to the randomness in most of its operations. Hence, recently researches have employed structured populations in GA to reduce this randomness, such as in the island genetic algorithm model (IGA), cellular genetic algorithm model (CGA) and other models.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/6371
dc.language.isoenen_US
dc.publisherUniversiti Sains Malaysiaen_US
dc.subjectHuman Community-Based Geneticen_US
dc.subjectAlgorithm Model (Hcbga)en_US
dc.titleA Human Community-Based Genetic Algorithm Model (Hcbga)en_US
dc.typeThesisen_US
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