2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technolog 2012
DOI: 10.1109/ecticon.2012.6254302
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A design study of 4/2 switched reluctance motor using particle swarm optimization

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Cited by 12 publications
(6 citation statements)
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“…According to literature, countless applications are found for the DE algorithm, in distinct areas of science, to mention some: engineering systems project [6], engineering systems project with a multiobjective focus [10], considerations about failure tolerant slots in synchronous motors [11], a study in evolutionary algorithms of multiobjective optimization for the induction motor project [12], a study in a switched reluctance motor using swarm particles optimization [13], project and optimization of a three phase induction motor using a genetic algorithm [14], besides other applications [9].…”
Section: Multiobjective Optimization Differential Evolutionmentioning
confidence: 99%
“…According to literature, countless applications are found for the DE algorithm, in distinct areas of science, to mention some: engineering systems project [6], engineering systems project with a multiobjective focus [10], considerations about failure tolerant slots in synchronous motors [11], a study in evolutionary algorithms of multiobjective optimization for the induction motor project [12], a study in a switched reluctance motor using swarm particles optimization [13], project and optimization of a three phase induction motor using a genetic algorithm [14], besides other applications [9].…”
Section: Multiobjective Optimization Differential Evolutionmentioning
confidence: 99%
“…The coworking setup is implemented using FEMM simulation tools (Meeker, no date) and MIDACO metaheuristic optimizer (Schlueter et al, M. Barukčić, Ž. Hederić, T. Benšić & V. Ćorluka: Optimization by the evolutionary algorithm and FEM tools: example on switched reluctance motor 47 2013). A similar approach of applying metaheuristic optimization techniques for design optimization of SMR and other machines can be found in (Phuangmalai, Konghirun, and Chayopitak, 2012;Kheireddine et al, 2018).…”
Section: Optimization By the Evolutionary Algorithm And Fem Tools: Example On Switched Reluctance Motor Introductionmentioning
confidence: 99%
“…The coworking setup is implemented using FEMM simulation tools (Meeker, no date) and MIDACO metaheuristic optimizer (Schlueter et al, M. Barukčić, Ž. Hederić, T. Benšić & V. Ćorluka: Optimization by the evolutionary algorithm and FEM tools: example on switched reluctance motor 47 2013). A similar approach of applying metaheuristic optimization techniques for design optimization of SMR and other machines can be found in (Phuangmalai, Konghirun, and Chayopitak, 2012;Kheireddine et al, 2018).…”
Section: Optimization By the Evolutionary Algorithm And Fem Tools: Example On Switched Reluctance Motor Introductionmentioning
confidence: 99%