本文采用改进粒子群算法求解货物装载问题。
In this paper, a particle swarm algorithm was presented to solve the Freighting problem.
它是结合网格原理与粒子群算法(PSO)。
It was combined grid theory with Particle Swarm Optimization (PSO).
差分算法与粒子群算法结合可形成新的算法。
A mix of Differential Evolution and Particle Swarm Optimization can make a new algorithm.
粒子群算法是一类基于群智能的随机优化算法。
Particle swarm algorithm was an optimized algorithm based on swarm intelligence.
提出一种基于局部与全局搜索相结合的粒子群算法。
This paper proposes a particle swarm optimization based on local and global combined search.
针对公交线网优化问题，利用粒子群算法进行了研究。
A new method of public traffic line network optimization is presented by particle swarm algorithm.
应用改进粒子群算法求解梯级水电站短期优化调度问题。
Improved Particle Swarm Optimization is applied to short-term optimal scheduling of the cascade hydropower plants.
提出了用于解决作业车间调度问题的离散版粒子群算法。
A discrete Particle Swarm Optimization (PSO) algorithm was presented for Job Shop scheduling problem.
用粒子群算法对融合模型进行优化得到PSO优化模型。
Particle Swarm Optimization(PSO)is used to select parameters for the model.
说明：这个是详细的粒子群算法代码。大家可以借鉴参考。
This is the detailed particle swarm optimization code. We can learn from the reference.
耗散粒子群算法是一种结合自组织耗散理论的粒子群算法。
Dissipative Particle Swarm Optimization (DPSO) is developed according to the self-organization of dissipative structure.
利用粒子群算法设计了一种冷连轧轧制负荷分配的优化方法。
A rolling load distribution optimization algorithm of tandem cold mill was designed using particle swarm optimization algorithm.
针对简单遗传算法的局限性，提出了基于粒子群算法的遗传算法。
According to the limitations of simple genetic algorithms, design genetic algorithms based on particle swarm.
提出了一种粒子群算法的低压电器冲裁件排样优化问题的求解方法。
A particle swarm optimization algorithm for low voltage apparatus blanking part layout optimization was presented.
算例证实了算法的有效性，通过和基本粒子群算法比较显示其优越性。
Study cases showed the validity of the algorithm. The compare with basic particle swarm algorithm showed its superiority.
提出一种新的粒子群算法(PSO)边界变异策略——最小值边界变异。
A new boundary mutation strategy, the minimum boundary mutation, is presented based on Particle Swarm Optimization (PSO).
借鉴蚁群算法的信息素机制，提出了一种基于信息素机制的离散粒子群算法。
A pheromone-based discrete particle swarm optimization algorithm was proposed borrowing the idea of pheromone refresh mechanism of ant colony algorithm.
为了加快粒子群算法的收敛速度，论文在传统粒子群算法中引入了记忆机制。
In order to speed up convergence, this paper implants the memory mechanism in the traditional binary PSO.
在优化算法上，采用了二进制粒子群算法来进行配电网重构最优方案的搜索。
Binary Particle Swarm Optimization (BPSO) is applied to solve the problem of distribution network reconfiguration in this paper.
粒子群算法操作简便、容易实现且全局搜索功能较强，适用于非线性参数估计。
Considering that the particle swarm optimization (PSO) algorithm is quite simple and easy to implement, it was used to estimate the nonlinear model parameters in this paper.
将模式聚合和自适应广义粒子群算法相结合，提出了一种文本属性约简新方法。
A new method of text dimension reduction is brought forward, based on pattern aggregation and adaptive general particle swarm optimization (AGPSO).
实验结果表明，改进后的粒子群算法防止陷入局部最优的能力有了明显的增强。
The experimental result indicates that the modified PSO increases the ability to break away from the local optimum.
把速度更新策略和混沌优化相结合，提出了减少速度更新频率的混沌粒子群算法。
Combining relaxation velocity update frequency and chaos optimization, a chaos particle swarm optimization was proposed based on relaxation velocity update frequency (CRVUPSO).
基于收缩因子改进的粒子群算法可以保证算法的收敛性，同时使得速度的限制放松。
The improved particle swarm algorithm based on constriction factors can guarantee the constringency of the algorithm, while the restriction of velocity can be released.
在标准粒子群算法中引入非线性变化权重和变异操作来保证全局收敛并提高收敛精度。
By introducing the nonlinear variation weight and mutational operation into the standard particle swarm algorithm to ensuring the overall convergence and enhance the accuracy of convergence.
介绍基本粒子群优化算法的原理、特点，并在此基础上提出了一种改进的粒子群算法。
This paper introduces the principles and characteristics of Particle Swarm Optimization algorithm, and puts forward an improved particle swarm optimization algorithm.
本论文提出的多目标粒子群算法优化锅炉可调运行参数在锅炉燃烧优化领域还不多见。
It is an unusual case to use MOPSO to optimize operation parameters of boiler in the field of boiler combustion optimization.
粒子群算法是基于群集智能、受到人工生命研究结果的启发而提出的一种现代优化方法。
Based on the swarm intelligence, Particle swarm optimization (PSO) algorithm is a kind of modern optimization method inspired by the research of the artificial life.
粒子群算法是基于群集智能、受到人工生命研究结果的启发而提出的一种现代优化方法。
Based on the swarm intelligence, Particle swarm optimization (PSO) algorithm is a kind of modern optimization method inspired by the research of the artificial life.
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