This paper proposes a new hybrid particle swarm optimization method for unit commitment problem.
该文针对机组组合问题，提出了一种新的混合粒子群优化算法。
A method for the identification of time-varying delay systems using hybrid particle swarm optimization is proposed.
提出了基于混合粒子群优化的时变时滞系统辨识方法。
A hybrid particle swarm optimization (HPSO) approach is presented to solve the problem of optimizing the steady-state temperatures of the three zones of a billet reheating furnace.
针对一种蓄热推钢式加热炉三个加热区的炉温稳态优化问题，本文提出了一种混合粒子群优化(HPSO)方法。
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.
应用粒子群优化算法(PSO)求解电力系统无功优化问题，提出基于混沌搜索的混合粒子群优化算法，以克服P SO容易早熟而陷入局部最优解的缺点。
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均值算法与粒子群算法的不足，提出了一种基于粒子群算法和模糊c—均值算法的混合聚类算法。
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。
This paper proposed a novel Particle Swarm Optimization (PSO) hybrid algorithm to improve the optimum speed and performance of the PSO algorithm.
为了提高粒子群算法的寻优速度和寻优精度，提出一种改进的PSO混合算法。
The particle swarm optimization algorithm and the Ant Colony Optimization are employed to develop a hybrid stochastic searching algorithm.
最后将粒子群算法和禁忌搜索算法思想引入到蚁群算法中，用于求解拉闸限电序位优化问题。
Inspired by the idea of hybrid optimization algorithms, this paper proposes two hybrid Quantum Evolutionary algorithms (QEA) based on combining QEA with Particle Swarm optimization (PSO).
文章将量子进化算法(QEA)和粒子群算法(PSO)互相结合，提出了两种混合量子进化算法。
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的粒子群优化算法这一混合优化算法应用于拆卸序列规划求解问题。
This paper the hybrid local constriction particle swarm optimization (HLPSO) with a feasibility-based rule is proposed to solve constrained engineering design problems.
本文提出一个求解约束工程设计问题的新的混合算法—与可行基规则相结合的局部收缩微粒群算法。
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用例最小化问题，将粒子群优化算法和随机算法相结合，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。
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用例最小化问题，将粒子群优化算法和随机算法相结合，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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