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- One important aspect of social media optimiza tion is finding individuals interested in your prod ucts or initiatives. 社区媒体优化很重要的一个方面就是找到对你产品有兴趣的个体。
- In the process of structure optimiza tion of the dual tire vulcanizer,we p ut forward the combi-nation of ANSYS and Guide -Weight Criterion Method. 我们在双模轮胎硫化机结构的优化设计中,提出了一种ANSYS与导重准则相结合的优化方法。
- A rolling load distribution optimization algorithm of tandem cold mill was designed using particle swarm optimization algorithm. 摘要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。
- Determination of end carboxyl content in PET chip using photometric method was discussed, the optimiza tion of measuring condition and parameters such as sample weight,concentration of titrant, blank of solvent were stud ied. 论述采用光度法测定聚酯切片的端羧基，对称样量、滴定剂的浓度、溶剂的空白等测试条件和参数进行优化选择。
- In this paper, we try to apply Binary System Particle Swarm Optimization (BSPSO) with death Penalty function to solve 0/1 knapsack problem. 摘要将带有死亡罚函数的二进制粒子群优化算法应用于0/1背包问题。
- A method to evaluate spatial straightness errors adopting particle swarm optimization (PSO) is proposed. 摘要提出了一种满足最小区域法的空间直线度误差评价的新方法一粒子群算法。
- Particle swarm algorithm was an optimized algorithm based on swarm intelligence. 摘要粒子群算法是一类基于群智能的随机优化算法。
- The particle swarm optimization(PSO) algorithm is an evolutional algorithm and comprises a very simple concept. 微粒群优化(PSO)算法是一种进化算法,包含的概念简单。
- Particle Swarm Optimization is used to design the nonholomic motion planning algorithm of the unicycle. 采用粒子群优化技术设计了独轮机器人非完整运动规划算法。
- Particle Swarm Optimization (PSO) is an optimization algorithm based on population invented by Eberhart and kennedy. 摘要 PSO算法(微粒群算法)是一种仿生优化技术，目前国内外对该算法的研究成果已经很丰富。
- A new method was researched for system model identification via Particle Swarm Optimization(PSO) in this paper. 论文研究了一种利用粒子群优化(PSO)算法对系统模型进行辨识的新方法。
- Based on the characteristic of particle swarm optimization(PSO) algorithm searching the parameter space concur... 仿真结果表明了所提算法的有效性和所设计控制器的优越性能。
- Because of the global optimization characteristic of the particle swarm optimizer method and the strong local search... 说话人辨认实验表明,与传统的方法相比,新方法可以得到更优的模型参数,使得系统的识别率进一步提高。
- Particle swarm optimization (PSO) algorithm is easy to be trapped into local minima in optimizing multimodal function. 摘要针对利用粒子群优化算法进行多极值点函数优化时，存在陷入局部极小点和搜寻效率低的问题。
- Hybrid algorithm was composed of particle swarm optimization (PSO) and improved ant colony optimization (ACO). 采用粒子群算法与改进蚁群算法组成的混合优化算法求解模型。
- Particle Swarm Optimization (PSO for short) is a evolutionary algorithm with simple operations and few parameters. 粒子群优化算法(PSO)是一种进化算法,操作简单,参数少。
- Particle Swarm Optimization algorithm(PSO) is a new intelligent optimization paradigm. 粒子群优化算法是一种新颖的智能优化算法。
- The results have shown the effectiveness of particle swarm optimisation for flexible job shop scheduling. 实验结果表明粒子群算法在柔性工作车间调度问题的应用上是十分有效的。
- The particle swarm optimization(PSO)algorithm is improved to get better global search ability. 在对粒子群算法研究的基础上,对其进行改进,以提高全局搜索能力。
- This paper proposes a particle swarm optimization based on local and global combined search. 提出一种基于局部与全局搜索相结合的粒子群算法。
