Adaptive Rule-Base Influence Function Mechanism for Cultural Algorithm
سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 311
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شناسه ملی سند علمی:
JR_JACET-1-2_005
تاریخ نمایه سازی: 18 تیر 1398
چکیده مقاله:
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.Optimization is an important issue in different scientific applications. Many researches dedicated to algorithms that can be used to find an optimal solution for different applications. Intelligence optimizations which are generally classified as, evolutionary computations techniques like Genetic Algorithm, evolutionary strategy, and evolutionary programming, and swarm intelligence algorithms like particle swarm intelligence algorithm and ant colony optimization, etc are powerful tools for solving optimization problems
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نویسندگان
Vahid Seydi Ghomsheh
Artificial Intelligence Department, Islamic Azad University, Science and Research Branch, Tehran, Iran.
Mohamad Teshnehlab
Faculty of Electrical Engineering,Control Department,K. N. Toosi University of Tech., Tehran, ۱۹۶۹۷, Iran.
Mehdi Aliyari Shoordeli
Faculty of the Department of Mechatronics,K. N. Toosi University of Tech., Tehran, ۱۹۶۹۷, Iran.