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   adaptive rule-base influence function mechanism for cultural algorithm  
نویسنده seydi ghomsheh vahid ,teshnehlab mohamad ,aliyari shoordeli mehdi
منبع journal of advances in computer engineering and technology - 2015 - دوره : 1 - شماره : 2 - صفحه:29 -38
چکیده    this study proposes a modified version of cultural algorithms (cas) which benefits from rule-based system for influence function. this rule-based system selects and applies the suitable knowledge source according to the distribution of the solutions. this is important to use appropriate influence function to apply to a specific individual, regarding to its role in the search process. this rule based system is optimized using genetic algorithm (ga). the proposed modified ca algorithm is compared with several other optimization algorithms including ga, particle swarm optimization (pso), especially standard version of cultural algorithm. the obtained results demonstrate that the proposed modification enhances the performance of the ca in terms of global optimality.
کلیدواژه cultural algorithm (ca) ,global optimization ,knowledge sources ,rule-based system
آدرس islamic azad university, science and research branch, faculty of computer engineering, artificial intelligence department, iran, k. n. toosi university of tech., faculty of electrical engineering, control department, iran, k. n. toosi university of tech., department of mechatronics, iran
پست الکترونیکی aliyari@eetd.kntu.ac.ir

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