| 烟花算法在联合补货问题中的应用研究 |
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| 引用本文： | 崔京城,瞿 慧.烟花算法在联合补货问题中的应用研究[J].教育技术导刊,2020,19(6):176-181. |
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| 作者姓名： | 崔京城 瞿 慧 |
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| 作者单位： | 1.湖北工业大学 职业技术师范学院；2. 湖北工业大学 经济与管理学院，湖北 武汉 430068 |
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| 基金项目： | 国家自然科学基金项目（71701064）；教育部人文社科基金项目（16YJC630099）；湖北工业大学博士科研启动基金项目（BS? QD2015038）；湖北工业大学大学生创新创业训练项目（201710500071） |
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| 摘 要： | 烟花算法作为一种新型群体智能优化算法，在众多领域得到成功应用。联合采购品种的不断扩大对算法性能提出了巨大挑战。针对联合补货问题设计了基于烟花算法的求解方案，并利用基础算例证明方案有效性。随机生成的大规模算例表明，烟花算法相较于混合差分进化算法，在求解大规模联合补货问题时可获得更优的近似最优解，具有更快的收敛速度和更高的稳定性，验证了烟花算法在混合整数规划方面的应用效果。
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| 关 键 词： | 烟花算法 联合补货 资源整合 |
| 收稿时间： | 2019-10-25 |
Application Research of Fireworks Algorithm in Joint Replenishment Problem |
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| CUI Jing-cheng,QU Hui.Application Research of Fireworks Algorithm in Joint Replenishment Problem[J].Introduction of Educational Technology,2020,19(6):176-181. |
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| Authors: | CUI Jing-cheng QU Hui |
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| Institution: | 1. Normal School of Vocational and Technical Education，Hubei University of Technology； 2. School of Economics and Management，Hubei University of Technology，Wuhan 430068，China |
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| Abstract: | As a novel swarm intelligence optimization algorithm，the fireworks algorithm has been successfully applied in many fields since proposed. In order to deal with the challenge for algorithm performance raised by increasing variety of joint procurement，a solution based on fireworks algorithm is designed for joint replenishment problem. The efficiency of the solution is verified by basic case. The large-scale random cases show the fireworks algorithm，compares with hybrid differential evolution algorithm，can obtain better approximately optimization solution，and has better convergence speed and stability for larger scale problem. These results verify the application performance of fireworks algorithm in mixed integer programming. |
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| Keywords: | fireworks algorithm joint replenishment resources integrated |
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