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Due to the simplicity and the prominent effect, particle swarm optimization(PSO) algorithm is applied in model optimization more and more frequently and it was used to optimize the mathematical model for the width expansion. The result from the computer simulation demonstrated the algorithm's validity and effectiveness. 粒子群优化算法因为其简单可行以及效果显著而越来越广泛地被应用于模型优化中,采用粒子群算法对粗轧宽展控制模型进行优化,解决了传统方法难以解决的问题,结果表明优化后的模型效果明显优于原来模型,体现了粒子群算法在优化领域的优越性。 A new adaptive filtering model based on particle swarm optimization (PSO) algorithm is proposed and designed.It is proved to be efficient and effective in the computer simulation example test. 提出并设计了一种基于粒子群优化算法的振动信号的自适应滤波模型。该滤波模型在计算机仿真测试中,获得了很高的效率和良好的结果。 An order planning optimizing model is formulated based on studies on the order planning strategies, (constraints) and objectives under make-to-order (MTO) management mode in steel plant. The multiple objectives (including) minimizing tardiness cost, balancing utility of capacities and minimizing inventory cost are taken into (account) in the model. The weighted-sum approach is used for transferring the multi-objective model into a (single) (objective) one. Specific particle swarm optimization... An order planning optimizing model is formulated based on studies on the order planning strategies, (constraints) and objectives under make-to-order (MTO) management mode in steel plant. The multiple objectives (including) minimizing tardiness cost, balancing utility of capacities and minimizing inventory cost are taken into (account) in the model. The weighted-sum approach is used for transferring the multi-objective model into a (single) (objective) one. Specific particle swarm optimization (PSO) algorithm is designed to solve the model. (Taking) a (practical) order planning problem as instance, different parameter combinations are systemically tested for (effectiveness) and efficiency of the algorithm. The results show that the model and algorithm are satisfactory. 基于对钢铁企业MTO管理模式下合同计划的编制策略、约束条件和优化目标的研究,建立了合同计划优化模型.模型综合考虑了拖期惩罚费用、设备能力均衡利用和库存成本等优化目标,并采用加权法将多目标优化模型转换为单目标优化模型.针对模型的特点设计了求解模型的特殊PSO算法.以某钢铁企业的实际合同计划问题作为实例,在算法不同参数组合下进行了系统的测试,实验结果表明模型和算法是令人满意的.
particle swarm optimization pso algorithm
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Particle Swarm Optimization 粒子群优化算法 短句来源 Research on Particle Swarm Algorithm 微粒群算法及研究 短句来源 Orthogonal Particle Swarm Optimization 正交微粒群算法 短句来源 Niching particle swarm optimizer 一种小生境技术的微粒群优化器 短句来源 Overview of particle swarm optimization 微粒群算法综述 短句来源 
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The Particle Swarm Optimization (PSO) algorithm was introduced in adaptive PMD compensation.
Subsequently the Particle Swarm Optimization (PSO) algorithm is applied in order to select the "the best" ANN for the future investment decisions and to adapt the weights of other networks towards the weights of the best network.
Since it is almost impossible to find an analytic method to solve the proposed model, a particle swarm optimization (PSO) algorithm based on the random fuzzy simulation is designed.
This problem can be considered as a global optimization problem and we focus our study on the Particle Swarm Optimization (PSO) algorithm.
Particle swarm optimization (PSO) algorithm for optimal machining allocation of clutch assembly
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