基于元胞遗传算法的多目标应急资源配置
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Release time:2022-02-26 Impact Factor:1.698 Journal:中国安全生产科学技术 Key Words:应急资源配置;元胞遗传算法;多目标优化 Abstract:为解决不同灾情下多目标多周期灾后救援问题,减少受灾损失,对灾后应急资源配置进行研究。从物流成本和系统损失2个方面最小化救灾行动的成本和最大化有限救灾资源的分配,建立基于路况的多目标应急资源配置模型,将帕累托前沿和超体积作为元胞遗传算法的求解性能指标,开展元胞遗传算法与遗传算法对模型的求解对比实验。结果表明:元胞遗传算法能较好地求解多目标多周期应急资源配置模型,且求解性能比遗传算法更好;通过对模型的求解,可为决策者基于不同灾情下的应急决策提供参考。 First Author:王飞跃，裴重伟，郭换换，杨宸宇 Indexed by:Journal paper Discipline:Engineering First-Level Discipline:Safety Science and Engineering Document Type:J Volume:16 Issue:2 Page Number:174-179 ISSN No.:1673-193X Translation or Not:no Date of Publication:2020-02-01 -
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