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In order to satisfy with the individual and various demand of customer, establish multi-type vehicles vehicle scheduling with picking-delivery model. According to the characteristics of model, hybrid genetic algorithm is used to get the optimization solution. First of all, use natural number coding so as to simplify the problem; use the individual amount control choice strategy so as to guarantee...
In this paper, the multiple-depot vehicle routing problem with fuzzy demands is considered, on the basis of uncertain demand of multiple-depot vehicle routing problem, a fuzzy chance constrained program is designed based on fuzzy credibility theory. Then the hybrid genetic algorithm based on fuzzy simulation is used to solve the vehicle routing model. In genetic algorithm, a new code is given, and...
This paper presents a decision making approach based on a hybrid GA for determining the most efficient number of operators and the efficient measurement of operator assignment in cellular manufacturing system (CMS).The objective is to determine the labor assignment in CMS environment with the optimum performance. We use The GA for getting near optimum ranking of the alternative with accordance to...
This paper proposed a method to realize irregular stereoscopic warehouse layout diagram and presented an algorithm to calculate the minimum distance between every two storage points. In this method, the components of the warehouse were defined as passage, shelf, storage point and node. Passage is a roadway by which the operator can access goods stored on shelf. Node is the intersection of a vertical...
This paper presents a novel scheme for global path exploration to multi robots environment using hybrid implementation of evolutionary heuristic. This scheme is used to find an optimal path for each mobile robot to move in a static environment expressed by a weighted graph with nodes and links. The interesting part of this scheme is that the chromosome structure is designed to cluster the landmarks...
The Multi-Depot Vehicle Routing Problem with time-dependent and fuzzy travel time is very difficult to solve to optimality even for relatively small size instances. So few or no literatures have focused on the problem so far. But it is very close to real world and can make the schedule more availability and more flexible. So this paper focuses on modeling and solution of the problem. A model of MDVRPTW...
Multi-objective flowshop scheduling problems have gained wide attention both in practical and academic fields. In this paper, a hybrid multi-objective genetic algorithm is proposed to solve multi-objective no-wait flowshop scheduling problems with both the makespan and the total flow time minimization. The proposed algorithm makes use of the principle of non-dominated sorting, coupled with the use...
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