...而高效率而低复杂度的MIMO系统多用户检测方法变得尤为重要 Kennedy和Eberhart提出的粒子群优化算法(Particle Swarm Optimization, PSO),作为一种新的并行优化算法,在解决多维和非线性的复杂问题中,性能优良且算法简单易于实现。
基于4个网页-相关网页
改进的粒子群优化算法 MPSO ; HPSO ; Improved Particle Swarm Optimization ; particle swarm optimization
提出的粒子群优化算法 Particle Swarm Optimization ; PSO
传统的粒子群优化算法 particle swarm optimiza-tion
的改进粒子群优化算法 Improved Particle Swarm Optimization
的混合粒子群优化算法 hybrid particle swarm optimization
提出了一种求解双矩阵对策多重纳什均衡解的粒子群优化算法。
Particle Swarm Optimization (PSO) algorithm for solving multiple Nash equilibrium solutions of bimatrix game is presented in this paper.
提出了一种新颖的基于分子动理论的粒子群优化算法(MMT - P SO)。
A novel particle swarm optimization based on theory of molecular motion (MMT-PSO) was proposed, and the population was regarded as molecule system.
经典的粒子群优化算法是一个在连续的定义域内搜索数值函数极值的很有效的方法。
The classical Particle swarm optimization (PSO) algorithm is a powerful method to find the minimum of a numerical function, on a continuous definition domain.
应用推荐