基于混沌粒子群优化算法对优化数学模型进行了求解。
The global optimal solution is obtained based on chaotic particle swarm optimization algorithm.
为了有效地解决水火电力系统资源短期优化调度问题，提出了一种基于混沌粒子群算法的调度方案。
To solve hydrothermal power system resource short-term optimization scheduling problem, this paper proposed a novel scheduling solution based on chaos particle swarm optimization algorithm.
把速度更新策略和混沌优化相结合，提出了减少速度更新频率的混沌粒子群算法。
Combining relaxation velocity update frequency and chaos optimization, a chaos particle swarm optimization was proposed based on relaxation velocity update frequency (CRVUPSO).
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