Titlebook: Bio-inspired Computing: Theories and Applications; 13th International C Jianyong Qiao,Xinchao Zhao,Shanguo Huang Conference proceedings 201

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书目名称Bio-inspired Computing: Theories and Applications影响因子(影响力)




书目名称Bio-inspired Computing: Theories and Applications影响因子(影响力)学科排名




书目名称Bio-inspired Computing: Theories and Applications网络公开度




书目名称Bio-inspired Computing: Theories and Applications网络公开度学科排名




书目名称Bio-inspired Computing: Theories and Applications被引频次




书目名称Bio-inspired Computing: Theories and Applications被引频次学科排名




书目名称Bio-inspired Computing: Theories and Applications年度引用




书目名称Bio-inspired Computing: Theories and Applications年度引用学科排名




书目名称Bio-inspired Computing: Theories and Applications读者反馈




书目名称Bio-inspired Computing: Theories and Applications读者反馈学科排名

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前面

U-NSGA-III: An Improved Evolutionary Many-Objective Optimization Algorithm,ity. However, in an evolutionary process, areas near certain reference points which have no solution attached cannot be searched. To ensure the algorithm searching the entire solution space, and in particular, to avoid some areas not being explored due to no solution existing in the regions currentl

警告

,Elman Neural Network Optimized by Firefly Algorithm for Forecasting China’s Carbon Dioxide Emissionous pressure of large amounts of carbon dioxide (.) emissions, China is now actively implementing development strategy of low-carbon and emission reduction. Through the analysis of the influencing factors of . emissions in China, five key influencing factors are selected: urbanization level, gross d

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immunity

Differential Grouping in Cooperative Co-evolution for Large-Scale Global Optimization: The Experimeriable grouping. DG2 proposed by Omidvar et al. is accurate for variable grouping. DG2, which is a parameter-free differential grouping method, can distinguish overlapping components of decision variables of a function. In this paper, we test DG2 on high-dimensional functions with more than 1000 dim

Valves

Spiking Neural P Systems with Anti-spikes Based on the Min-Sequentiality Strategy,r modeling biological systems. The spiking neural P system based on the min-sequentiality strategy is a special kind of membrane computing model. Anti-spikes and inhibitory functions are introduced into spiking neural P systems based on the min-sequentiality strategy. We construct two sequential spi

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