An Optimal Edge Detection Using Gravitational Search Algorithm
نویسندگان
چکیده
منابع مشابه
FUZZY GRAVITATIONAL SEARCH ALGORITHM AN APPROACH FOR DATA MINING
The concept of intelligently controlling the search process of gravitational search algorithm (GSA) is introduced to develop a novel data mining technique. The proposed method is called fuzzy GSA miner (FGSA-miner). At first a fuzzy controller is designed for adaptively controlling the gravitational coefficient and the number of effective objects, as two important parameters which play major ro...
متن کاملfuzzy gravitational search algorithm an approach for data mining
the concept of intelligently controlling the search process of gravitational search algorithm (gsa) is introduced to develop a novel data mining technique. the proposed method is called fuzzy gsa miner (fgsa-miner). at first a fuzzy controller is designed for adaptively controlling the gravitational coefficient and the number of effective objects, as two important parameters which play major ro...
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متن کاملOn the Convergence Analysis of Gravitational Search Algorithm
Gravitational search algorithm (GSA) is one of the newest swarm based optimization algorithms, which has been inspired by the Newtonian laws of gravity and motion. GSA has empirically shown to be an efficient and robust stochastic search algorithm. Since introducing GSA a convergence analysis of this algorithm has not yet been developed. This paper introduces the first attempt to a formal conve...
متن کاملOn the Convergence Analysis of Gravitational Search Algorithm
Gravitational search algorithm (GSA) is one of the newest swarm based optimization algorithms, which has been inspired by the Newtonian laws of gravity and motion. GSA has empirically shown to be an efficient and robust stochastic search algorithm. Since introducing GSA a convergence analysis of this algorithm has not yet been developed. This paper introduces the first attempt to a formal conve...
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ژورنال
عنوان ژورنال: Lecture Notes on Software Engineering
سال: 2013
ISSN: 2301-3559
DOI: 10.7763/lnse.2013.v1.33