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启发式遗传算法在分段舾装分道作业计划中的应用研究 被引量:1

Application of Heuristic Genetic Algorithm in Planning of Block Outfitting Process Lane
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摘要 以分段舾装分道作业线的作业计划问题为研究对象,对分道作业线合理作业计划形式进行了研究。在分析分段舾装分道作业特点的基础上,建立了问题的数学模型,并结合启发式遗传算法进行了问题模型的求解,最后以一个算例证实了研究方法的可行性和有效性。 This paper focuses on the research of the proper planning of blocking outfitting process lane. Based on the analysis of blocking outfitting work, a mathematical model is built for the problem of planning of the blocking outfitting process lane, and a heuristic genetic algorithm is applied to solve the mathematical model of the problem. Finally, a practical example is given to verify the feasibility and efficiency of the proposed methods in the research.
出处 《上海造船》 2008年第2期34-39,55,共7页 Shanghai Shipbuilding
关键词 启发式遗传算法 分段舾装分道作业计划 资源受限的工程调度 装箱问题 heuristic genetic algorithm planning of blocking outfitting process lane resource constrained project scheduhng bin packing problem
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  • 1[1]LI Bo,ZHAO Zhi-Yan,LI Gang.A dynamic scheduling method for spatial layout planning.Proceedings of 2005 International Conference on Machine Learning and Cybernetics,2005,6:3612-3617.
  • 2[2]Kolisch,R.Serial and parallel resource-constrained project scheduling methods revisited:Theory and computation[J].European Journal of Operational Research,1996,90:320–33.
  • 3[3]Tsai Y W,Douglas D G.Using tabu search to schedule activities to stochastic resource constrained projects[J].European Journal of Operational Research,1998,111:129-141
  • 4[4]Hartmann S.A competitive genetic algorithm for resource constrained project scheduling[J].Naval Research Logistics,1998,45:733-750.

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