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Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm

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Chinese Physics B 2012年第1期21卷 558-565页

作者： Zu Yun-Xiao Zhou Jie School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China

Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm is proposed, and a fitness function is provided. Simulations are conducted using the adaptive niche immune genetic algo- rithm, the simulated annealing algorithm, the quantum genetic algorithm and the simple genetic algorithm, respectively. The results show that the adaptive niche immune genetic algorithm performs better than the other three algorithms in terms of the multi-user cognitive radio network resource allocation, and has quick convergence speed and strong global searching capability, which effectively reduces the system power consumption and bit error rate.

关键词： cognitive radio networks niche genetic algorithm King map resource allocation

Optimization of Rolling Force Distribution Based on niche genetic algorithm in Continuous Hot Rolling Mills

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Computer Aided Drafting,Design and Manufacturing 2013年第4期23卷 45-48页

作者： LIU Zi-ping LI Li-xin School of Mechanical and Electronic Engineering Beijing Union University

Based on the niche genetic algorithm, the intelligent and optimizing model for the rolling force distribution in hot strip mills was put forward. The research showed that the model had many advantages such as fast searching speed, high calculating pre- cision and suiting for on-line calculation. A good strip shape could be achieved by using the model and it is appropriate and practica-ble for rolling producing.

关键词： hot rolling mill scheduling niche genetic algorithm

Multi-attribute Automatic Negotiation Model Based on niche genetic algorithm

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Multi-attribute Automatic Negotiation Model Based on Niche G...

Combined Novel Gate Level Model and Critical Primary Input Sharing for genetic algorithm Based Maximum Power Supply Noise Estimation

2010 Chinese Control and Decision Conference

作者： Chen Pei-you,Li Yi-ling College of Economic and Management,Heilongjiang Institute of Science and Technology,Harbin 150027,China

A multi-criteria ranking method about interval-valued intuitionistic fuzzy sets is introduced into the automatic negotiation model to weaken the subjectivity of preference information report from negotiation *** evidential reasoning algorithms,the criteria values are aggregated and the interval intuitionist fuzzy sets of alternatives are obtained;considering the incomplete certain information on weight,a nonlinear programming model is developed and the weight of various attribute is *** niche genetic algorithm is proposed to search optimization and improve ***,a simulation testing shows the model is a feasible and effective,which can help negotiation Agents to reach quickly a mutually beneficial agreement objectively.

关键词： automatic negotiation bargaining zone interval-valued intuitionistic fuzzy number niche genetic algorithm

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cnki会议

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Journal of Semiconductors 2007年第9期28卷 1375-1380页

作者：田志新刘勇攀杨华中清华大学电子工程系北京100084

A gate level maximum power supply noise （PSN） model is defined that captures both IR drop and di/dt noise effects. Experimental results show that this model improves PSN estimation by 5.3% on average and reduces computation time by 10.7% compared with previous methods. Furthermore,a primary input critical factor model that captures the extent of primary inputs＇ PSN contribution is formulated. Based on these models,a novel niche genetic algorithm is proposed to estimate PSN more effectively. Compared with general genetic algorithms, this novel method can achieve up to 19.0% improvement on PSN estimation with a much higher convergence speed.

关键词： power supply noise gate level model niche genetic algorithm

AN Improvement MSM-PGA Based on Multi-Agent and Its Application in Reactive Power Optimization

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AN Improvement MSM-PGA Based on Multi-Agent and Its Applicat...