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Author: Sun Dapeng
Abstract: Fuzzy C-means clustering algorithm is sensitive to its initialization of value,and its objective function is non-convex,easy to fall into local minimum points,while can＇t get the optimal solution.Combined with global fast-search capability of the particle...
Abstract: Fuzzy C-means clustering algorithm is sensitive to its initialization of value,and its objective function is non-convex,easy to fall into local minimum points,while can＇t get the optimal solution.Combined with global fast-search capability of the particle...
Author: BAI Jun-jie,GONG Yi-guang,WANG
Abstract: To solve the problem of multi-objective flexible Job Shop scheduling with lot-splitting,a novel multi-objective flexible size lot-splitting scheduling algorithm based on particle swarm optimization algorithm was proposed. In this algorithm,a flexible size...
Abstract: To solve the problem of multi-objective flexible Job Shop scheduling with lot-splitting,a novel multi-objective flexible size lot-splitting scheduling algorithm based on particle swarm optimization algorithm was proposed. In this algorithm,a flexible size...
Author: JIANG Yan-hui,LI Feng
Abstract: Due to the problems of the single threshold image segmentation method isn＇t ideal,the particle swarm optimization algorithm is easy to fall into local optimum,and the speed is slow,a multi-threshold method of image segmentation based on chaotic particle s...
Abstract: Due to the problems of the single threshold image segmentation method isn＇t ideal,the particle swarm optimization algorithm is easy to fall into local optimum,and the speed is slow,a multi-threshold method of image segmentation based on chaotic particle s...
Author: YOU Zhangping1,2, LI Wanli1, W
Abstract: To overcome the difficulty of modeling for agitation characteristics of spiral stirrer for asphalt conveyor, a Neural Network（NN） model was established, based on both pitch and radius of helical blade being used as the input vector, with the rate of mixtu...
Abstract: To overcome the difficulty of modeling for agitation characteristics of spiral stirrer for asphalt conveyor, a Neural Network（NN） model was established, based on both pitch and radius of helical blade being used as the input vector, with the rate of mixtu...
Author: MAI Xiong-fa ,LI Ling
Abstract: In multi-objective optimization problem,decision makers（DMs） are only interested in a special part of the objective space,so which should has enough solutions.But the traditional approach is to identify all of the Pareto front,so decision-ma-king efficien...
Abstract: In multi-objective optimization problem,decision makers（DMs） are only interested in a special part of the objective space,so which should has enough solutions.But the traditional approach is to identify all of the Pareto front,so decision-ma-king efficien...
Author: ZHANG Lan,LEI Xiu-juan,MA Qian
Abstract: This paper studied the signal timing optimization based on green wave system composed of multiple urban single-point intersections.Considering the coordinated control of the route sections and trunk traffic flow,regarding the traffic volume,traffic capaci...
Abstract: This paper studied the signal timing optimization based on green wave system composed of multiple urban single-point intersections.Considering the coordinated control of the route sections and trunk traffic flow,regarding the traffic volume,traffic capaci...
Author: WU Liang, JIANG Yu-ming
Abstract: In order to improve the convergence velocity and accuracy, the dynamic convergence factor based on the fitness value is introduced into the improved algorithm（FPSO） according to the difference between the present fitness value and the target value.The new...
Abstract: In order to improve the convergence velocity and accuracy, the dynamic convergence factor based on the fitness value is introduced into the improved algorithm（FPSO） according to the difference between the present fitness value and the target value.The new...
Author: CEN Yu-sen,XIONG Fang-min,ZENG
Abstract: To improve the accuracy of the global optimal solution and ensure the convergence of particle,an algorithm of grouping particle swarm optimization based on knowledge space（KGPSO） is presented.Firstly,the initial particles are divided into several groups b...
Abstract: To improve the accuracy of the global optimal solution and ensure the convergence of particle,an algorithm of grouping particle swarm optimization based on knowledge space（KGPSO） is presented.Firstly,the initial particles are divided into several groups b...