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Mind evolutionary computation with swarm intelligence

Mind evolutionary computation with swarm intelligence

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Gang-Zhu Qiao Jing Jie Jian-Chao Zeng Xiao-Juan He Division of System Simulation and Computer Application Taipan Heavy Machinery Institute Taiyuan China

ISBN: (纸本)0780384032

Mind evolutionary computation (MEC) is a novel stochastic algorithm that derived from man's swarm intelligence. Based on the swarm theory, the social behavior analysis about MEC is made and the searching mechanisms of its operators are studied. After that, a parameter analysis is provided for the similar axis operator, and a cooperation-based dissimilation operator (CDO) is developed. Finally, a series of experiments have been done to make a parameter choice and an evaluation for MEC. The results illustrate MEC with CDO is a viable global optimization method owning robust ability.

关键词： Evolutionary computation Particle swarm optimization Computational modeling Optimization methods Biological system modeling Evolution (biology) Analytical models Algorithm design and analysis Robustness Biology computing

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Mind evolutionary computation for a kind of non-numerical optimization problems

Mind evolutionary computation for a kind of non-numerical op...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Pei-Jun Chen Jian-Chao Zeng Division of System Simulation and Computer Application Taiyuan Heavy Machinery Institute Taiyuan China

ISBN: (纸本)0780384032

Mind evolutionary computation for a kind of non-numerical optimization problems is introduced, which offers a new all-purpose method for solving the non-numerical optimization. First an all-purpose coding method is induced according to the common characteristics of these problems. Then a series of concepts, for example character, information matrix, etc., are introduced. Consequently an all-purpose similartaxis and dissimilation operations of mind evolutionary computation for those problems are designed. In similartaxis operation, information matrix memorizes the characters of the superior individuals and new individuals are generated under the instruction of the characters of these superior individuals, which not only increases the useful information, but also strengthens the evolution direction. Dissimilation operation is for global search, which makes the algorithm have global convergence. Finally its global convergence is proved with combinatorial theory and Markov chain. Our experiments show that this algorithm is feasible and effective.

关键词： Evolutionary computation Optimization methods Convergence Processor scheduling Traveling salesman problems Computational modeling computer simulation computer applications Machinery Character generation

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Cooperation based on the multi phase negotiation model of MAS in dynamic alignment among enterprises

Cooperation based on the multi phase negotiation model of MA...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Yin-Zhang Guo Guo-You Zhang Gang-Zhu Qiao Yu-Bin Xu Division of System Simulation and Computer Application Taiyuan Heavy Machine Institute Taiyuan China

ISBN: (纸本)0780384032

Much research is made on the negotiation architecture, cooperation mechanism and the process of negotiation based on MAS. We analyze firstly the negotiation architecture based on multi agent mechanism in dynamic alignment of enterprise. Secondly, prompt the cooperation mechanism and evaluation methods in dynamic alignment among enterprises based on multi phase negotiation policy model of MAS. Detailed discussion is made in the process of negotiation and choice policy among the coordinator, which is based on the negotiation policy of learning agent, and the members of alignment. Particularly, the process of negotiation among the members of alignment or potential enterprise in alignment is presented based on the multilateral negotiation policy of agent. The result of policy model is that it is easy to create the most reasonable alignment structure, which can guarantee the whole benefit reach to maximum and the member of alignment is the satisfactory earning.

关键词： Contracts Modems computer applications Electronic mail Resource management Intelligent agent Costs Cybernetics

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Branch genetic algorithm applied to the flexible job shop scheduling problem

Branch genetic algorithm applied to the flexible job shop sc...

引用

World Congress on Intelligent Control and Automation (WCICA)

作者： Xiaomei Yang Jianchao Zeng Division of System Simulation and Computer Application Taiyuan Heavy Machinery Institute Taiyuan Shanxi China

ISBN: (纸本)0780382730

According to the characteristic of flexible job shop scheduling problem, branch genetic algorithm is presented. In view of the branch code method, branch genetic operators are constructed to satisfy the restraint condition of the feasible scheduling. This algorithm not only can avoid the flaw of simple genetic algorithm, but also may indicate the descendants to develop new quality owning to acclimation. The computation results validate the effectiveness of the proposed algorithm.

关键词： Genetic algorithms Job shop scheduling Computational modeling computer simulation computer applications Machinery Processor scheduling

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Evaluation and choice of supply chain partner based on fuzzy variable weighting method

Evaluation and choice of supply chain partner based on fuzzy...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Xiaoju Liu Jianchao Zeng Division of system simulation and computer application Taipan Heavy Machinery Institute Taiyuan Shanxi China

According to the thought of increasing the weight of the inferior items on the comprehensive evaluation, the supply chain partners are evaluated and chosen based on the fuzzy variable weighting, and the evaluation and... 详细信息

ISBN: (纸本)0780382730

关键词： Supply chains Fuzzy systems Computational modeling computer simulation computer applications Machinery Fuzzy neural networks

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Analysis of particle swarm optimization based on discrete time linear system theory

Analysis of particle swarm optimization based on discrete ti...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Ying Tan Jianchao Zeng Huimin Gao Division of System Simulation and Computer Application Taiyuan Heavy Machinery Institute Taiyuan Shanxi China

Particle swarm optimization (PSO) is a new evolutionary computation method. Analysis of the evolutionary trajectories and the convergence properties of PSO are presented based on the discrete time linear system theory... 详细信息

ISBN: (纸本)0780382730

关键词： Particle swarm optimization Linear systems Computational modeling computer simulation computer applications Machinery Evolutionary computation Convergence

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A formal description of self-controlling software based on pi-calculus

A formal description of self-controlling software based on p...

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IEEE International Conference on systems, Man and Cybernetics

作者： Guo-You Zhang Yin-Zhang Guo Division of System Simulation and Computer Application Taipan Heavy Machinery Institute Taiyuan Shanxi China Computer Department Taipan Heavy Machinery Institute Taiyuan Shanxi China

ISBN: (纸本)0780385675

Self-controlling system can evaluate its behavior, and decide the change of system state to control its behaviors. Self-controlling system can be divided into three levels: feedback, adaptation and reconfiguration. Among these levels, the adaptation part is the key issue to research. It needs to be treated uniquely to analyze the properties. Dynamism, atomic operation and dependability on its operating environment are its key issues. Based on this, we formalize the meta-model of self-controlling software using the pi-calculus. Our method is separates the component and the connector and views self-controlling software as the combination of the adaptation part and the computation part. By using pi-calculus, validation and evolvement analysis is available, which is critical in the stage of self-controlling software development.

关键词： Connectors Software architecture Runtime Machinery Feedback Routing Topology Computational modeling computer simulation computer applications

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Artificial neural network weights optimization design based on MEC algorithm

Artificial neural network weights optimization design based ...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Xiao-Juan He Jun-Chao Zeng Jing Jie Department of Mathematics Taipan Heavy Machinery Institute Taiyuan China Division of System Simulation and Computer Application Taiyuan Heavy Machinery Institute Taiyuan China

ISBN: (纸本)0780384032

Mind evolutionary computation (MEC) is a new approach of evolutionary computation. In this paper, it is adopted to train the weights of artificial neural network (ANN) to solve premature convergence problem of BP algorithm and genetic algorithm. The coding method of taking individual weights as the center of normal distribution is proposed, and information of network weights is used. Dynamic searching method is used, and weights are trained successfully. The simulation result shows that the new method is better than the common BP algorithm and genetic algorithm.

关键词： Artificial neural networks Design optimization Algorithm design and analysis Machinery computer applications Neural networks Computational modeling computer simulation Convergence Genetic algorithms

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Construction methods of basal evolutionary operators of mind evolutionary computation

Construction methods of basal evolutionary operators of mind...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Xiaojuan He Jianchao Zeng Department of Mathematics Taipan Heavy Machinery Institute Taiyuan Shanxi China Division of System Simulation and Computer Application Taiyuan Heavy Machinery Institute Taiyuan Shanxi China

ISBN: (纸本)0780382730

MEC, Mind Evolutionary Computation presented in Literature has superiority for solving the premature convergence problem of genetic algorithm and no-numerical optimization. The method is a new algorithm, the mature evolutionary operators have not come into being, so the efficiency is lower. For the problem that the characteristics can be discrete, the concept of Information Matrix is introduced, the construction methods of the generic similartaxis and dissimilation operators are given in the paper, the coding method for this kind of problem is solved, the theory becomes more perfect, and the effectiveness is proven through the computing examples.

关键词： Evolutionary computation Machinery Mathematics Computational modeling computer simulation computer applications Convergence Genetic algorithms Optimization methods

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Hybrid Petri nets of scheduling and supervisory control integrated system in process industry

Hybrid Petri nets of scheduling and supervisory control inte...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Ya-Li Wu Ding Liu Jian-Chao Zeng School of Automation and Information Engineering Xi''an University of Technology Xi'an Shaanxi China Division of System Simulation and Computer Application Taiyuan Heavy Machinery Institute Taiyuan Shanxi China

ISBN: (纸本)0780384032

Production scheduling and supervisory control are the key to real computer integrated manufacturing system in process industry. A new kind of hybrid Petri nets model named hierarchical extended hybrid Petri nets model is proposed to model scheduling and supervisory control integrated system in process industry. Firstly, the definition of hierarchical extended hybrid Petri nets is given. Then the enabled condition and evolution rule are described in detail. At last an example is given to show the modeling process of hybrid Petri nets.

关键词： Petri nets Job shop scheduling Supervisory control Electrical equipment industry Industrial control Processor scheduling Manufacturing industries Production systems computer integrated manufacturing computer industry

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