...感应蚁群算法(Self- telepathy Ant Colony Algorithm,STACA)和混合粒子群算法(Hybrid Particle Swarm Optimization,H-PSO), 进行了相应的理论分析与证明,为处理复杂的不确定信息车辆路径问题提供必要的数 学求解工具。
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...豆丁网 感应蚁群算法(Self- telepathy Ant Colony Algorithm,STACA)和混合粒子群算法(Hybrid Particle Swarm Optimization,H-PSO), 进行了相应的理论分析与证明,为处理复杂的不确定信息车辆路径问题提供必要的数 学求解工具。
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为了提高优化性能,将粒子群算法和模拟退火算法结合,得到了粒子群-模拟退火混合调度算法。
In order to improve its performance, the paper puts forward a hybrid algorithm which blends the PSO algorithm and simulated annealing algorithm.
提出了一种新颖的基于粒子群优化和多级检测的混合算法的多用户检测器。
A novel hybrid algorithm approach that employs a particle swarm optimization (PSO) and a multistage detection for the multiuser detection problem (PSOMSD) is proposed.
与其他混合最优化算法不同的是,该算法没有破坏粒子群和遗传算法的独立性,而是仅通过全局最优样本把两个算法结合在一起。
It selects the optimaler number as a global optimum at every circulation, which makes its result be better than both PSO and GA, then improves the overall performance of the algorithm.
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