• A novel hybrid algorithm approach that employs a particle swarm optimization (PSO) and a multistage detection for the multiuser detection problem (PSOMSD) is proposed.

    提出一种新颖的基于粒子优化多级检测混合算法多用户检测器

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  • The chaos search based hybrid particle swarm optimization (PSO) algorithm is proposed in the paper to avoid the premature phenomenon of PSO, which is applied into the reactive power optimization.

    应用粒子优化算法(PSO)求解电力系统无功优化问题,提出基于混沌搜索混合粒子群优化算法,克服P SO容易早熟陷入局部最优解缺点。

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  • To avoid the shortcomings of FCM and Particle Swarm Optimization algorithm, new hybrid clustering algorithm based on PSO and FCM algorithm is proposed.

    针对模糊c均值算法粒子算法不足提出了一种基于粒子群算法模糊c—均值算法混合聚类算法。

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  • This paper proposed a novel Particle Swarm Optimization (PSO) hybrid algorithm to improve the optimum speed and performance of the PSO algorithm.

    为了提高粒子算法速度精度,提出改进PSO混合算法。

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  • A hybrid algorithm is proposed by combining Particle Swarm optimization (PSO) algorithm with a stochastic optimization method, for solving the test suite minimization problem in regression test.

    针对回归测试中测试例最小化问题,粒子优化算法随机算法相结合,提出一种二维随机粒子群优化算法用来解决测试用例最小化的问题。

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  • The particle swarm optimization algorithm and the Ant Colony Optimization are employed to develop a hybrid stochastic searching algorithm.

    最后将粒子算法禁忌搜索算法思想引入群算法中,用于求解拉闸限电序位优化问题。

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  • It be used in disassembly sequence planning process which is a hybrid optimization algorithm, the particle swarm-simulated annealing optimization algorithm (PSO-SA).

    本文将基于模拟退火粒子优化算法混合优化算法应用拆卸序列规划求解问题。

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  • It be used in disassembly sequence planning process which is a hybrid optimization algorithm, the particle swarm-simulated annealing optimization algorithm (PSO-SA).

    本文将基于模拟退火粒子优化算法混合优化算法应用拆卸序列规划求解问题。

    youdao

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