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基于改进轮盘赌策略的交互式演化算法 被引量:6

Interactive Evolutionary Algorithm Based on Improved Roulette Wheel Selection Strategy
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摘要 根据轮盘赌策略提出了一种基于改进轮盘赌策略的交互式演化算法(RS-IEA),并将其应用于求解商业海报的设计上。商业海报的设计问题可建模为一个隐式性能优化问题,传统的优化算法不能直接对该类问题进行求解。由于RS-IEA算法有用户的参与,它既保留了传统演化算法固有的求解最优化问题的优势,又融入了"人的评价",能够成功解决该类问题,并获得理想的设计方案。 A novel interactive evolutionary algorithm is presented based on improved roulette wheel selection strategy . In the experiments ,this algorithm is used to solve the commercial poster designing problems ,which is the implicit optimiza-tion problem and is difficult to be solved directly by traditional evolutionary algorithm .Because of user's participation ,the RS-IEA not only reserves the advantage of solving optimization problems ,which the traditional evolutionary algorithm has , but also has the “user's evaluation” .The RS-IEA can solve the commercial poster designing problems and obtain the perfect design .
出处 《计算机与数字工程》 2014年第10期1763-1767,1834,共6页 Computer & Digital Engineering
基金 江西省教育厅(青年)基金项目(编号:GJJ14396 GJJ14639 GJJ14373) 江西省自然(青年)科学基金(编号:20122BAB211036 20122BAB201044) 国家自然科学基金(编号:61165004) 武汉大学软件工程国家重点实验室开放基金(编号:SKLSE2012-09-35)资助
关键词 交互式演化算法 轮盘式选择 隐式优化问题 商业海报 最优化设计 interactive evolutionary algorithm roulette wheel selection implicit optimization problem commercial poster optimization design
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