swarm forward

swarm forward的基本解释

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蜂拥而来

与swarm forward相关的网络例句 [注：此内容来源于网络，仅供参考]

In order to preserve the varieties of the swarm and avoid to be in premature convergence,a Particle Swarm Optimization algorithm based on the differential evolution mutation is proposed.The new algorithm uses the particle aggregation quality to judge that if the particles in the swarm are congregative so much,then apply the differential evolution to mutate the self prevenient best position of each particle,in order to realize the aim of preserving the varieties of the swarm.

为了保持粒子种群的多样性而避免发生&早熟&的问题，提出一种基于差异演化变异的粒子群优化算法，该方法通过粒子聚集性判断如果粒子群中的粒子过于聚集，则使用差异演化算法对PSO算法中各个粒子的自身历史最佳位置进行变异，以实现保持粒子群种群多样性的目的。

Firstly, on the basis of defining the characteristics of project and reviewing the mathematical models for RCPSP, we constructed the mathematical model for RCPSP under the condition that there is non-fixed duration and splittable tasks in project; In order to solve above model, we emphatically discussed the basic principle of the swarm intelligence algorithm--the particle swarm optimization algorithm as well as improvement research for current algorithm, and then proposed a new improved particle swarm optimization algorithm and analyzed its application process in the resource-constrained project scheduling problem; Lastly, in order to confirm the validity of the model and the algorithm, we took an experiment based on 108 instances that produced by problem instance generator which was developed by our team.

首先，在对RCPSP项目特征进行界定以及对项目进度优化模型回顾的基础之上，构建了基于活动工期不固定、任务可拆分特征的RCPSP的数学模型；为了求解上述模型，本文详细阐述粒子群优化算法(Particle Swarm Optimization，PSO)的基本原理以及当前对其改进的研究成果，提出了一种新的改进PSO算法，并对其在RCPSP的应用过程进行了设计；最后，为了检验模型的有效性及算法的优越性，基于梯队内部开发的案例生成器生成的108个算例，进行了仿真试验。

To address routing planning of the delivery vehicle navigation in logistics, the article based on point-to-point model, improved the fundamental particle swarm optimization in the initial population, the method of population and evolutionary strategy for improvement, put forward the improved particle swarm optimization for vehicle routing point-to-point model problem of navigation in distribution, and verify the validity of the algorithm by simulation tests.

为解决物流配送车辆导航中的路径规划问题，文章以点对点模型为基础，对基本粒子群优化算法在初始种群的产生方法和种群的进化策略方面进行改进，提出适于配送车辆导航中路径规划点到点模型的改进型粒子群优化算法，并通过仿真试验验证算法的有效性。

与swarm forward相关的网络解释 [注：此内容来源于网络，仅供参考]

中锋 centre forward, centre中鋒：centre forward, centre

forward 前锋 forward前鋒 | centre forward, centre 中锋 centre forward, centre中鋒 | inside left forward, inside left 左内锋 inside left forward, inside left左內鋒

discrete particle swarm optimization：离散粒子群优化算法

扩展粒子群优化算法:extended particle swarm optimization | 离散粒子群优化算法:discrete particle swarm optimization | 粒子群优化算法:Particle Swarm Optimization Algorithms (PSO)

swarm spore：游动孢子

swarm into 涌入 | swarm spore 游动孢子 | swarm up 爬上