Computer Engineering and Applications ›› 2014, Vol. 50 ›› Issue (21): 238-242.

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Models and hybrid genetic algorithm for scheduling shipbuilding inspectors

FU Hao, GE Hongwei, SHAO Changlu, ZHU Liang   

  1. School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
  • Online:2014-11-01 Published:2014-10-28

造船监理员调度模型和混合遗传算法求解

符  昊,葛洪伟,邵长鲁,朱  亮   

  1. 江南大学 物联网工程学院,江苏 无锡 214122

Abstract: Quickly and effectively scheduling members of shipbuilding supervision of different majors to specific shipyards improves the efficiency of shipbuilding and ensures the constructional quality. Because lack of general models and effective scheduling means for above-mentioned issue in China, this paper establishes mathematical models with a series of hard constraints and soft constraints to solve this problem. Followed by the models, a hybrid genetic algorithm based on simulated-annealing genetic algorithm is applied to solving this problem. Simulated experiments verify that the model and the algorithm are feasible and effective.

Key words: scheduling shipbuilding inspectors, construction of ships, personnel scheduling, hybrid genetic algorithm, NP problem

摘要: 有效快速地调度不同专业的造船监理员至不同厂区进行监理工作可以提高船舶建造效率,确保船只建造质量。针对我国造船监理公司监理员调度方面缺乏通用模型和调度手段落后的问题,建立起带有一系列硬性约束和软性约束的数学模型。随后针对该数学模型采用了基于模拟退火遗传算法的混合遗传算法进行求解。模拟仿真实验表明该模型与算法取得了理想效果。

关键词: 造船监理员调度, 船舶建造, 人员调度, 混合遗传算法, NP问题