Development of a multi-objective scheduling system for offshore projects based on hybrid non-dominated sorting genetic algorithm

Development of a multi-objective scheduling system for offshore projects based on hybrid non-dominated sorting genetic algorithm
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基于混合非支配排序遗传算法的海上工程多目标调度系统开发

DOI:
10.1177/1687814015573785
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发表时间:
2015-03
影响因子:
2.1
通讯作者:
Li, Lingyao
Li, Lingyao
中科院分区:
工程技术4区
文献类型:
--
作者:
Yang, Boxin;Zhang, Dan;Zhou, Qinghua;Li, Lingyao

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为了提高离岸公司的效率,提出了一种基于混合非支配排序遗传算法的多目标调度系统。在考虑时间、成本、资源的情况下,构建了多目标、多执行模式的优化模型,并建立了数学模型。此外,详细阐述了系统的关键技术,并设计了流程图。针对非支配排序遗传算法(非支配排序遗传算法-II的简称)在局部搜索和计算效率方面的不足,在搜索全局解中采用Pareto支配的模拟退火算法。最后通过仿真算例和工业应用,验证了改进算法的鲁棒性和优越性。
In order to enhance the efficiency of offshore companies, a multi-objective scheduling system based on hybrid non-dominated sorting genetic algorithm was proposed. An optimized model for multi-objective and multi-execution mode was constructed under the condition of taking time, cost, and resource into account, and then the mathematical model for the same was established. Moreover, the key techniques of the proposed system were elaborated, and the flowchart was designed. Aiming at the weaknesses of non-dominated sorting genetic algorithm which is short for non-dominated sorting genetic algorithm-II in the facet of local search and computational efficiency, Pareto-dominated simulated annealing algorithm was applied in search global solution. Finally, by simulation examples and industrial application, the robustness and outperformance of the improved algorithm were verified.
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影响因子: 3.4
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