Titlebook: Computational Intelligence and Intelligent Systems; 5th International Sy Zhihua Cai,Hengjian Tong,Yong Liu Conference proceedings 2010 Spri

malfeasance

书目名称Computational Intelligence and Intelligent Systems影响因子(影响力)




书目名称Computational Intelligence and Intelligent Systems影响因子(影响力)学科排名




书目名称Computational Intelligence and Intelligent Systems网络公开度




书目名称Computational Intelligence and Intelligent Systems网络公开度学科排名




书目名称Computational Intelligence and Intelligent Systems被引频次




书目名称Computational Intelligence and Intelligent Systems被引频次学科排名




书目名称Computational Intelligence and Intelligent Systems年度引用




书目名称Computational Intelligence and Intelligent Systems年度引用学科排名




书目名称Computational Intelligence and Intelligent Systems读者反馈




书目名称Computational Intelligence and Intelligent Systems读者反馈学科排名

Initial

浪费时间

Multi-resource Balanced Scheduling Optimization Based on Self-adaptive Genetic Algorithmnd mutation operator in the process of optimization, this paper proposes a new method to use the Self-adaptive GA to resolve the “Fixed Time Limit for a Project” problem of Multi-Resource Balanced Scheduling Optimization, with a goal of the balanced resources under the fixed time. Comparison of expe

向宇宙

Space-Time Variation Operator Set in Possibility Construction SpaceCST, we advance in this paper Space-Time Variation Operator Set . which includes Indirection Space Variation Operator ., Indirection Time Variation Operator ., Indirection Space-time Variation Operator ., Time Forward Variation Operator ., Time Back-line Variation Operator ., Space Considerations Va

占线

A Multi-objective Optimization Evolutionary Algorithm with Better Performances on Multiple Indicatororithms is also a multi-objective optimization problem. Currently, most MOEAs cannot obtain enough approximated Pareto front (APF) points, or have no enough approximation to true Pareto front, or have uneven point distribution or have incomplete coverage etc.. This paper proposes a new Multi-objecti

狂热文化

A New Evolutionary Algorithms for Global Numerical Optimization Based on Ito Processaptation feature, but a tightly coupling with GAs, PSOs and the SAs as well. In this paper, the detail designs of drift and wave operator are proposed. A lot of experiments of numerical optimization verify that the performance of ITO algorithm is excellent. Compared with several famous algorithms, I

狂热文化

A New Multi-objective Optimization Evolutionary Algorithm Based on Geometrical Pareto Selection and EAs have room for improvement in terms of the number of approximated Pareto front points, the approximation to the true Pareto front, the uniformity of the distribution of approximated Pareto front points and the complete of coverage. Here, a new MOEA named DNGPS which is combined with multi-subpopu

傲慢人

Measurements in Fast Evolutionary Programming mixed mutations. Many results have been obtained only on comparisons of performance among different mutations. In stead of mearly measuring the performance, this paper discusses how to examine the behaviors of Gaussian mutations and Cauchy mutations based on nine measurements including five measure

Venules

Palpitation

Ranking Based Selection Genetic Algorithm for Capacity Flow Assignmentsis a dynamic-adaptive operator, which can not only prevent the population from the coming early convergence but also conduct the existed early convergence. When applying the improved GA to resolve the capacity and flow assignment (CFA) problem, we use a better integer-encoding rather than normal bin