A Human Community-Based Genetic Algorithm Model (Hcbga)
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Date
2009-11
Authors
Qasim Al-Madi, Nagham Azmi
Journal Title
Journal ISSN
Volume Title
Publisher
Universiti Sains Malaysia
Abstract
As 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.
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Keywords
Human Community-Based Genetic , Algorithm Model (Hcbga)