A solution to unit commitment via an enhanced binary particle swarm optimization (BPSO) algorithm is presented.
文中提出了一种基于改进离散粒子群优化算法求解机组组合问题的新方法。
Binary Particle Swarm Optimization (BPSO) is applied to solve the problem of distribution network reconfiguration in this paper.
在优化算法上，采用了二进制粒子群算法来进行配电网重构最优方案的搜索。
A method based on improved binary particle swarm optimization (PSO) is proposed for distribution network reconfiguration with the objective of load balancing.
提出了基于改进的二进制粒子群优化算法、以均衡负荷为目标的配电网重构方法。
This paper brings forward the binary improved particle swarm optimization algorithm for decision of loans combinatorial optimization problem, and illustrates the detailed realization of the algorithm.
针对贷款组合优化决策模型的求解问题，论文提出了用于求解该问题的二进制粒子群算法，并阐明了算法的具体实现过程。
This paper brings forward the binary improved particle swarm optimization algorithm for decision of loans combinatorial optimization problem, and illustrates the detailed realization of the algorithm.
针对贷款组合优化决策模型的求解问题，论文提出了用于求解该问题的二进制粒子群算法，并阐明了算法的具体实现过程。
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