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基于博弈遗传算法的组合电路进化设计
引用本文:徐海芹,丁永生,胡志华.基于博弈遗传算法的组合电路进化设计[J].计算机应用,2009,29(3):900-902.
作者姓名:徐海芹  丁永生  胡志华
作者单位:上海东华大学 东华大学信息科学与技术学院
基金项目:国家自然科学基金重点项目,教育部科技创新工程重大项目培育基金,上海市国际科技合作基金,上海市人才发展资金资助项目,上海市领军人才后备人选专项资金资助项目 
摘    要:为了有效提高组合逻辑电路进化设计的速度和效率,提出了一种基于博弈遗传算法的电路进化设计算法。将组合电路中的每个输出端作为博弈者,组成每个输出端的逻辑门之间的连接和组态作为策略,将电路优化问题转化为博弈优化决策问题,策略的选择通过遗传算法实现,从而建立了组合电路优化设计的博弈模型。最后通过仿真实验验证该算法的有效性。

关 键 词:电路进化设计  博弈  遗传算法  组合电路  
收稿时间:2008-09-23
修稿时间:2008-11-04

Evolutionary design of combinational circuit based on game genetic algorithm
XU Hai-qin,DING Yong-sheng,HU Zhi-hua.Evolutionary design of combinational circuit based on game genetic algorithm[J].journal of Computer Applications,2009,29(3):900-902.
Authors:XU Hai-qin  DING Yong-sheng  HU Zhi-hua
Affiliation:1.College of Information Sciences and Technology;Donghua University;Shanghai 201620;China;2.Engineering Research Center of Digitized Textile and Fashion Technology;Ministry of Education;China
Abstract:To improve the speed and efficiency of combinational logic circuit design,this paper presented a Game Genetic Algorithm(GGA).In GGA,each output of the circuit was regarded as a player. The connection and combination of logic gates of each output were regarded as strategies.GGA transformed the circuit design problem to an optimal game decision-making one.The choice of policy was realized by genetic algorithm,and then the game model was built.Simulation results show that the method is effective.
Keywords:evolutionary circuit design  game theory  genetic algorithm  combinational circuit
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