1) discrete particle swarm optimization
离散微粒群算法
1.
Local adjusting discrete particle swarm optimization algorithm for traveling salesman problem
解决TSP问题的局部调整离散微粒群算法
2) discrete particle swarm optimization
离散粒子群算法
1.
To deal with the problem of premature convergence and slow search speed of DPSO(discrete particle swarm optimization),this paper proposes a novel hybrid discrete particle swarm optimization (HDPSO),which integrates the disturbance methods to help the particle escape from the local minima and the local algorithm PSEC to speed up the reach.
重新定义了离散粒子群算法DPSO的速度和位置公式,使其适宜求解离散问题。
2.
A discrete particle swarm optimization(DPSO) algorithm was put forward for multi-UCAV cooperation mission assignment problem.
针对多UCAV协同目标分配问题,提出了一种基于离散粒子群算法的多UCAV协同目标分配方法。
3.
This paper introduces a modified discrete particle swarm optimization(DPSO) which deals with linear order problem(LOP).
提出一种优化线性顺序问题的简便的离散粒子群算法。
3) dispersed particle swarm optimization
离散粒子群算法
1.
In order to improve the performance of Multi-User Detection technology and the local search capability of particle swarm optimization (PSO), clone selection algorithm (CS) is combined with traditional dispersed particle swarm optimization (DPSO), and a new advanced self-adaptation clone selection particle swarm optimization (ACSPSO) is proposed and used in Multi-User Detection.
为了提高多用户检测技术的性能,改善粒子群算法的局部搜索能力,将克隆选择算法(CS)和传统离散粒子群算法(DPSO)相结合,文中提出一种改进的自适应克隆选择粒子群优化算法(ACSPSO),并用于多用户检测。
4) discrete particle swarm optimization(DPSO)
离散粒子群算法
1.
The simulation to traveling salesman problem proves that CSO is superior to Discrete Particle Swarm Optimization(DPSO).
以TSP问题为例对算法进行仿真测试,实验证明算法有效且优于存在的离散粒子群算法(Discrete Particle Swarm Optimization,PSO)。
6) discrete penalty particle swarm optimization
离散惩罚粒子群算法
1.
Bellow optimum design based on discrete penalty particle swarm optimization;
基于离散惩罚粒子群算法的波纹管优化设计
补充资料：离散
分散不能团聚（多指亲属）：家人～。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条