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http://hdl.handle.net/20.500.12188/24537
Наслов: | Design optimization of power objects based on Constrained non-linear minimization, Genetic algorithms, Particle swarm optimization algorithms and Differential Evolution Algorithms | Authors: | Salkoski, Rasim Chorbev, Ivan |
Keywords: | Constrained non-linear minimization, Genetic Algorithms, Particle Swarm Optimization, Differential Evolution, Arc Suppression Coil | Issue Date: | 1-сеп-2014 | Journal: | International Journal on Information Technologies and Security | Abstract: | This paper gives a detailed comparative analysis of Constrained non-linear minimization (CN), Genetic Algorithms (GA), Particle Swarm Optimization Algorithms (PSO) and Differential Evolution Algorithms (DE) results. The Objective Function that is optimized is a minimization dependent and all constraints are normalized and modeled as inequalities. The results demonstrate the potential of the DE Algorithm, shows its effectiveness and robustness to solve the optimal power object. | URI: | http://hdl.handle.net/20.500.12188/24537 |
Appears in Collections: | Faculty of Computer Science and Engineering: Journal Articles |
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2014_N3-03.pdf | 449.46 kB | Adobe PDF | View/Open |
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