Adaptive Grouping Cloud Model Shuffled Frog Leaping Algorithm for Solving Continuous Optimization Problems
نویسندگان
چکیده
منابع مشابه
Adaptive Grouping Cloud Model Shuffled Frog Leaping Algorithm for Solving Continuous Optimization Problems
The shuffled frog leaping algorithm (SFLA) easily falls into local optimum when it solves multioptimum function optimization problem, which impacts the accuracy and convergence speed. Therefore this paper presents grouped SFLA for solving continuous optimization problems combined with the excellent characteristics of cloud model transformation between qualitative and quantitative research. The ...
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There are various automatic programming models inspired by evolutionary computation techniques. Due to the importance of devising an automatic mechanism to explore the complicated search space of mathematical problems where numerical methods fails, evolutionary computations are widely studied and applied to solve real world problems. One of the famous algorithm in optimization problem is shuffl...
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Yu-Feng Sun 1, Jie-Sheng Wang 1,2,* and Jiang-Di Song 1 1 School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan 114044, China; [email protected] (Y.-F.S.); [email protected] (J.-D.S.) 2 National Financial Security and System Equipment Engineering Research Center, University of Science and Technology Liaoning, Anshan 114044, China * Correspondence: ...
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ژورنال
عنوان ژورنال: Computational Intelligence and Neuroscience
سال: 2016
ISSN: 1687-5265,1687-5273
DOI: 10.1155/2016/5675349