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首页> 外文期刊>Journal of Industrial Engineering and Management >Using the hybrid fuzzy goal programming model and hybrid genetic algorithm to solve a multi-objective location routing problem for infectious waste disposal
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Using the hybrid fuzzy goal programming model and hybrid genetic algorithm to solve a multi-objective location routing problem for infectious waste disposal

机译：使用混合模糊目标规划模型和混合遗传算法解决传染性废物处置的多目标选址问题

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Purpose: Disposal of infectious waste remains one of the most serious problems in the social and environmental domains of almost every nation. Selection of new suitable locations and finding the optimal set of transport routes to transport infectious waste, namely location routing problem for infectious waste disposal, is one of the major problems in hazardous waste management.Design/methodology/approach: Due to the complexity of this problem, location routing problem for a case study, forty hospitals and three candidate municipalities in sub-Northeastern Thailand, was divided into two phases. The first phase is to choose suitable municipalities using hybrid fuzzy goal programming model which hybridizes the fuzzy analytic hierarchy process and fuzzy goal programming. The second phase is to find the optimal routes for each selected municipality using hybrid genetic algorithm which hybridizes the genetic algorithm and local searches including 2-Opt-move, Insertion-move and ?-interchange-move.Findings: The results indicate that the hybrid fuzzy goal programming model can guide the selection of new suitable municipalities, and the hybrid genetic algorithm can provide the optimal routes for a fleet of vehicles effectively.Originality/value: The novelty of the proposed methodologies, hybrid fuzzy goal programming model, is the simultaneous combination of both intangible and tangible factors in order to choose new suitable locations, and the hybrid genetic algorithm can be used to determine the optimal routes which provide a minimum number of vehicles and minimum transportation cost under the actual situation, efficiently.
机译：目的：传染性废物的处置仍然是几乎每个国家在社会和环境领域中最严重的问题之一。选择新的合适位置并找到最佳的运输路线来运输传染性废物，即传染性废物处置的位置路由问题，是危险废物管理中的主要问题之一。设计/方法/方法：由于这种复杂性问题，案例研究中的位置路由问题，泰国东北亚的40家医院和三个候选城市被分为两个阶段。第一阶段是使用混合模糊目标规划模型选择合适的城市，该模型将模糊分析层次过程和模糊目标规划混合在一起。第二阶段是使用混合遗传算法找到每个选定城市的最佳路线，该混合遗传算法将遗传算法与本地搜索（包括2-Opt-move，Insert-move和β-interchange-move）进行混合。结果：模糊目标规划模型可以指导选择合适的城市，混合遗传算法可以有效地为车辆群提供最佳路线。来源/价值：所提出方法的新颖性，即混合模糊目标规划模型，是同时进行的结合无形和有形因素以选择新的合适位置，并且可以使用混合遗传算法来确定在实际情况下有效地提供最少车辆数量和最低运输成本的最佳路线。

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