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Solving Large-Scale Battery Distribution Problem in Charging Station Network Using Genetic Algorithm

机译:用遗传算法解决充电站网络中的大规模电池分配问题

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摘要

How to accomplish large-scale battery optimal distribution is a very important and difficult problem in charging station network. Using traditional methods, such as Simulated Annealing, may not get satisfactory solution. Genetic Algorithm (GA), as a bionic-inspired optimization algorithm, has great potentials to solve combination optimization problems and is adopted to solve largescale battery optimal distribution problem. The steps for large-scale battery optimal distribution using GA are given out. The comparison experiment results show its validity to solve large-scale battery optimal distribution problem.
机译:如何实现大规模的电池优化分配是充电站网络中一个非常重要而又棘手的问题。使用传统方法(例如模拟退火)可能无法获得令人满意的解决方案。遗传算法(GA)作为仿生启发式优化算法,具有解决组合优化问题的巨大潜力,并被用于解决大规模电池优化分配问题。给出了利用遗传算法进行大规模电池优化分配的步骤。对比实验结果表明,该方法对于解决大规模电池最优分配问题是有效的。

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