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- W2070508715 abstract "An improved self-adaptive genetic algorithm (GA) is introduced for efficiently optimizing the complex structure and multi-variants cases. In optimizing, alleles operation and self-adaptive adjustment of the crossover and the mutant operator have been realized. The feasibility and the validity of the proposed improved GA have been verified using the typical testing function. Furthermore, the optimization of a Vacuum Interrupter (VI) has been successfully accomplished using the proposed GA. In optimizing, the shape of the contact has been considered as the optimized variable, and the objective function is to minimize the maximum electric field strength. Moreover the simulation results have been figured out." @default.
- W2070508715 created "2016-06-24" @default.
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- W2070508715 date "2006-01-01" @default.
- W2070508715 modified "2023-09-25" @default.
- W2070508715 title "Multivariable Optimal Design of Vacuum Interrupter using Novel Self-adaptive Genetic Algorithm" @default.
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- W2070508715 doi "https://doi.org/10.1109/deiv.2006.357349" @default.
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