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A New Method for Fastening the Convergence of Immune Algorithms Using an Adaptive Mutation Approach 被引量:3
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作者 Mohammed Abo-Zahhad Sabah M. Ahmed +1 位作者 nabil sabor Ahmad F. Al-Ajlouni 《Journal of Signal and Information Processing》 2012年第1期86-91,共6页
This paper presents a new adaptive mutation approach for fastening the convergence of immune algorithms (IAs). This method is adopted to realize the twin goals of maintaining diversity in the population and sustaining... This paper presents a new adaptive mutation approach for fastening the convergence of immune algorithms (IAs). This method is adopted to realize the twin goals of maintaining diversity in the population and sustaining the convergence capacity of the IA. In this method, the mutation rate (pm) is adaptively varied depending on the fitness values of the solutions. Solutions of high fitness are protected, while solutions with sub-average fitness are totally disrupted. A solution to the problem of deciding the optimal value of pm is obtained. Experiments are carried out to compare the proposed approach to traditional one on a set of optimization problems. These are namely: 1) an exponential multi-variable function;2) a rapidly varying multimodal function and 3) design of a second order 2-D narrow band recursive LPF. Simulation results show that the proposed method efficiently improves IA’s performance and prevents it from getting stuck at a local optimum. 展开更多
关键词 Adaptive MUTATION IMMUNE Algorithm CONVERGENCE TRADITIONAL MUTATION
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Emulation of Brain Metabolic Activities Based on a Dynamically Controllable Optical Phantom
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作者 Yuxiang Lin Cheng Chen +6 位作者 Zhouchen Ma nabil sabor Yanyan Wei Tianhong Zhang Mohamad Sawan Guoxing Wang Jian Zhao 《Cyborg and Bionic Systems》 EI CAS 2023年第1期84-92,共9页
This paper presents a dynamic optical phantom for the simulation of metabolic activities in the brain,and a linear equivalent model is built for control voltage versus substance concentration.A solid-solid dynamic opt... This paper presents a dynamic optical phantom for the simulation of metabolic activities in the brain,and a linear equivalent model is built for control voltage versus substance concentration.A solid-solid dynamic optical phantom is realized by using liquid crystal film as a voltage-controlled light intensity regulator on the surface of basic phantom,which uses epoxy resin as matrix material and nanometer carbon powder and titanium dioxide powder as absorption and scattering dopants,respectively.The dynamic phantom could mimic near-infrared spectrum(NIRS)signals with sampling rate up to 10 Hz,and the maximum simulation errors for oxy-hemoglobin and deoxy-hemoglobin concentrations varying in the range of 1μmol/l are 7.0%and 17.9%,respectively.Compared with similar solid biomimetic phantoms,the adjustable mimic substance concentration range is extended by an order of magnitude,which meets the simulation requirements of most brain NIRS signals. 展开更多
关键词 dynamic POWDER TITANIUM
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