基于混合遗传算法的工程机械客户服务调度研究

工程机械客户服务调度涉及服务车、服务人、工程机械三种调度对象。本文在服务资源充足，一名工程师至多分配一项任务的前提下，综合路径长度、技能匹配、服务时间等因素，建立了以最小化总完成时间为目标的模型。根据问题特点，将服务车-服务人-工程机械的组合看做一个特殊的三分图匹配问题，提出了基于二分图最小权匹配的混合遗传算法求解方案，引入了内嵌精英策略的轮盘赌选择算子和动态变异概率。通过大规模算例研究，证明了该算法的有效性与优越性。

Research on Customer Service Scheduling of Construction Machinery Based on Hybrid Genetic Algorithm

Scheduling of construction machinery customer service involves service vehicle, servicer, and engineering machinery. This study establishes a model with the goal of minimizing the total completion time under the premise that the service resources are sufficient and an engineer assigns at most one task, combining with path length, skill matching, service time, and other factors. Considering the combination of service vehicle, service person, and engineering machinery as a special three-part graph matching problem, a hybrid genetic algorithm solution based on the minimum weight matching of bipartite graphs is proposed. The roulette selection operator and dynamic mutation probability of the embedded elite strategy are introduced. The superiority of the algorithm is proved by a large-scale case study.