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Improved Genetic Algorithm for Nonlinear Programming Problems

Tang Jiafu,Wang Dingwei  
Based on the method of penalty function,an improved Genetic Algorithm with mutation along the weighted gradient direction for nonlinear programming problems is proposed in this paper. It will avoid the computer difficulty existing in the penalty function method,but also it does not need the complex coding and decoding process necessary for traditional genetic algorithm. Simulation of some examples shows that this method is effective.
【Fund】: 国家自然科学基金
【CateGory Index】: O221.2
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