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计算机科学 2002年第Z1期29卷 144-145,114页

作者：李枚毅蔡自兴石跃祥孙国荣蒙祖强中南大学信息科学与工程学院长沙410083

　　1引言　　进化计算的不足之一是可能陷入局部极小,变异操作正是为解决局部极小问题而使用的.若变异概率pm取值较大的话,能够产生出较多的新个体,搜索空间相应也大,进化过程中产生全局次优解(near-optimality)的机会也就会大,但也有... 详细信息

　　1引言　　进化计算的不足之一是可能陷入局部极小,变异操作正是为解决局部极小问题而使用的.若变异概率pm取值较大的话,能够产生出较多的新个体,搜索空间相应也大,进化过程中产生全局次优解(near-optimality)的机会也就会大,但也有可能破坏掉很多较好的模式,变异操作的概率过大会引起进化过程不稳定,使得遗传算法的性能近似于随机搜索算法的性能;若变异概率pm取值太小的话,则变异操作产生新个体的能力和抑制早熟现象的能力就会较差.……

关键词：进化计算变异概率自适应方法 Evolutionary Computation mutation probability 变异操作算法的性能进化过程早熟现象随机搜索搜索空间取值能力局部极小问题个体次优解遗传模式

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The Application of Adaptive Reduction Genetic Algorithm in Radar Equipment Damage Evaluation Method

The Application of Adaptive Reduction Genetic Algorithm in R...

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第25届中国控制与决策会议

作者： Zhang Yu Pan Wei Training Department Shenyang Artillery Academy Electric Detection Department Shenyang Artillery Academy

ISBN: (纸本)9781467355339

The paper proposes a rough set attribute reduction algorithm based on AGA, that in order to achieve effectively at tribute reduction, The core is joined initial population in AGA in order to accelerate capability. According to the dependability of decision attribute to the condition attribute, it can but only obtain the capability of part searching, but also retain the peculiarity of all searching. The adaptive crossover probability and adaptive mutation probability are designed, considering the influence of every generation to algorithm and the effect of different individual fitness in every generation. Experimental results show that the accurate reduction and the average algebraic sum all obtain the preferable values.

关键词： rough sets adaptive reduction genetic algorithm relative reduction crossover probability mutation probability

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The Application of Micro Variation Chaos Genetic Algorithm in Optimum Firepower Distribution for Caboodle of Air Defense Force

The Application of Micro Variation Chaos Genetic Algorithm i...

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第30届中国控制与决策会议

作者： Shang Wenzhong Pan Wei Zhu Wenliang Noncommissioned Officer Academy Army Artillery and Air Defense Forces Academy

Optimum firepower distribution model for caboodle of air defense force based on micro variation chaos genetic algorithm is established by using the battlefield object value and air defense firepower distribution. The model can exert the highest point of firepower unit efficiency of weapon and realize the most damage effect. The steps includes adopting real number to code, creating original community through building chromosome;calculating the degree of adaptation checking out the original community;manipulating the inherit algorithm operators and ameliorating the manipulation of election, chiasmic, variation and so on. At last, calculate the optimum selection and find out the optimum select of distributive project. The adaptive crossover probability and adaptive mutation probability are proposed, which consider the influence of every generation to algorithm and the effect of different individual fitness in every generation.

关键词： micro variation chaos genetic algorithm caboodle of air defense force optimum firepower crossover probability mutation probability

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The Vectorization Research of Military Map base on Micro Variation Chaos Genetic Algorithm

The Vectorization Research of Military Map base on Micro Var...

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第30届中国控制与决策会议

作者： Jia Chengjiang Jin Jianyu Zhang Yi Han Xiao Noncommissioned Officer Academy Army Artillery and Air Defense Forces Academy College of National Defense Education Northeastern University

Aiming at the research of military map vectorization, the vectorization method of military map based on micro variation chaos genetic algorithm is designed. The modificatory operations of new individuals are added after new individuals were produced, and the fitness can be improved by the operations. The adaptive crossover probability and adaptive mutation probability are proposed, which consider the influence of every generation to algorithm and the effect of different individual fitness in every generation. The results of experiment research show the effectiveness of the proposed method through that traditional algorithm compares with adaptive genetic algorithm.

关键词： military map micro variation chaos genetic algorithm individual modification crossover probability mutation probability

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New Structure of Kalman Filter base on Adaptive Genetic Algorithm for Radar Networking

New Structure of Kalman Filter base on Adaptive Genetic Algo...

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第26届中国控制与决策会议

作者： Yan Mingming Pan Wei Ministry of Research Shenyang Artillery Academy Electric Detection Department Shenyang Artillery Academy

ISBN: (纸本)9781479937097

Due to the different data rates of the sensors and communication delays in the radar netting, the research of the asynchronous multisensor data fusion problem is more practical than that of the synchronous one. Through discussing the sequential approach, which is the classical asynchronous multisensor data fusion algorithm, a new algorithm based on distributed computation structure is proposed. The adaptive crossover probability and adaptive mutation probability are proposed, which consider the influence of every generation to algorithm and the effect of different individual fitness in every generation. Simulation results show the validity of the presented algorithm.

关键词： multi-sensor radar networking crossover probability mutation probability adaptive genetic algorithm

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An Adaptive Genetic Algorithm based on Arctangent Function

An Adaptive Genetic Algorithm based on Arctangent Function

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第26届中国控制与决策会议

作者： Ting YU Jiang-qiang HU Jian-chuan YIN Xing-xing HUO Navigation college Dalian Maritime University

To speed up convergence rate and improve local convergence in genetic algorithm, nonlinear adaptive crossover probability and mutation probability function are designed. They are based on the arctangent function with three parameters of maximal fitness, minimal fitness and average fitness. An improved adaptive genetic algorithm is proposed based on the two designed functions. Simulation results prove that the proposed improved adaptive genetic algorithm possesses faster convergence speed than GA and AGA presented by Srinvas, stronger optimization ability and avoid the premature effectively.

关键词： Genetic algorithm Adaptive Crossover probability mutation probability Function test

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Radar Fault Diagnosis based on Adaptive Genetic Algorithm and Neural Network

Radar Fault Diagnosis based on Adaptive Genetic Algorithm an...

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2011 Chinese Control and Decision Conference（CCDC）

作者： Pan Wei1,Xu Jiahe2,Liu Sili1 1.Electric Detection Department,Shenyang Artillery Academy,Shenyang 110867,China 2.Department of Research Institute of Wood Industry Chinese Academy of Forestry,Beijing 100091,China.

A scheme for radar fault diagnosis is *** is based on artificial neural networks whose learning sample comes from the Pspice *** single circuit,single layer artificial neural networks are *** at the problems of slow rate of convergence and falling easily into part minimums in BP algorithm,a new improved genetic BP algorithm was put *** determine whether the network fall into part minimum point,a discriminator of part minimum was put forth in the training process of neural *** algorithm was used to revise the weights of the neural network if the BP algorithm fell into *** large and complex system multiplayer artificial neural networks are used,as well as preprocessing layer and post processing *** can raise diagnosis precision,shorten to train time,raise fault tolerance and the development of fault diagnosis,effective carry out fault *** faults of certain radar are diagnosed using the simulation and neural network scheme put forward in this paper,which testified the validity of this diagnosis process.

关键词： adaptive genetic algorithm radar fault diagnosis crossover probability mutation probability

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Reduced-order H∞ Controllers based on Adaptive Genetic Algorithm for Artillery Locating Radar

Reduced-order H∞ Controllers based on Adaptive Genetic Algo...

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2010 Chinese Control and Decision Conference

作者： Pan Wei,Yang Heyong Electric Detection Department,Shenyang Artillery Academy,Shenyang 110867,China

Approach of reduced-order Hcontroller for a class of singular discrete systems is presented based on Genetic *** minimum order of the controller and a corresponding parameter pair of positive definite matrix are obtained by means of searching the object *** then the reduced-order Hcontrollers are *** simulation results show that the controller can be obtained not only for non-singular systems but also for singular systems.

关键词： Adaptive Genetic Algorithm Linear Matrix Inequality(LMI) Reduced-order H∞controllers crossover probability mutation probability

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Applications of Adaptive Genetic Algorithm to Radar Engine Fault Diagnosis

Applications of Adaptive Genetic Algorithm to Radar Engine F...

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2010 Chinese Control and Decision Conference

作者： Zhang Peng~a,Pan Wei~a,Zhu Lma~b,Wang Dezhi~a a.Electric Detection Department b.Fundamental Department,Shenyang Artillery Academy,Shenyang 110867,China

＜正＞According to the problem on calculating the synthetic exponent characterizing the whole performance of radar engine by using the synthetic weighted method,the weights of every parameter are difficult to be *** solve this problem,a method of determining the weights of every parameter by adaptive genetic algorithm is *** synthetic exponent gained by AGA is more sensitive and exact than the one gained by the expert investigated method in reflecting the whole performance of the engines. Mean while,this method improves the rate of identifying whether the performance of the engine is normal or not,finds the potential forepart fault of engine and prevents the spread of the *** validity of the method is testified by monitoring certain type of turbine-fan *** adaptive crossover probability and adaptive mutation probability are proposed,which consider the influence of every generation to algorithm and the effect of different individual fitness in every generation.

关键词： Radar Engine Performance Monitoring Fault Diagnosis Adaptive Genetic Algorithm Crossover probability mutation probability

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