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- W2384240151 abstract "The traditional way to determine constrained optimize problem is Lagrange multiplier method. The demands of derivative and multiplication of peaks becomes troubles to this method. A new way -to determine such problems is supplied by the parallel search technique of genetic algorithm (GA). To improve the efficiency of the search, some scholars give out a method of two level search in which they determined the Lagrange multiplier X and parameters separately. A new GA method of multiple parameters is presented to improve the two level optimize GA. When the parameters which was optimized in two levels are coded at the same time, the two level optimization is converted to one level. Though this algorithm will not decrease operation time needed in our program, it can predigest the process of program designing and make it universal." @default.
- W2384240151 created "2016-06-24" @default.
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- W2384240151 date "2003-01-01" @default.
- W2384240151 modified "2023-09-24" @default.
- W2384240151 title "A Genetic Algorithm Used in Multiple Parameters Optimization Problems with Constraints" @default.
- W2384240151 hasPublicationYear "2003" @default.
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