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- A new chaotic particle swarm optimization (CPSO) algorithm is proposed to solve the complicated economic load dispatch (ELD) problems of power system. 摘要提出一种新的混沌粒子群优化(CPSO)算法，将其用于求解复杂的电力系统经济负荷分配(ELD)问题。
- By using the properties-ergodicity, randomicity, and regularity of chaos, Chaotic Particle Swarm Optimization algorithm is combined with thresholding methods. 利用混沌运动随机性、遍历性和初值敏感性，将混沌粒子群优化算法与阈值法相结合在二维空间作全局搜索。
- chaotic particle swarm optimization 混沌粒子群算法
- chaotic particle swarm optimization algorithm(CPSO) 混沌粒子群优化算法
- Chaos Particle Swarm Optimization 混沌粒子群优化
- chaotic particle swarm 混沌粒子群
- adaptive chaos particle swarm optimization algorithm 自适应混沌粒子群优化算法
- Niche chaotic mutation particle swarm optimization (NCPSO) is proposed to overcome the problem of the premature and low precision of the standard PSO. 摘要针对粒子群算法早熟收敛和搜索精度低的问题，提出了基于混沌变异的小生境粒子群算法(NCPSO)。
- Chaos particle swarm optimization algorithm and its application in biochemical process dynamic optimization 混沌粒子群算法及其在生化过程动态优化中的应用
- Chaos particle swarm optimization algorithm for solving systems of nonlinear equations and it's application 求解非线性方程组的混沌粒子群算法及应用
- 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。
- 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。
