Cluster real time vehicle routing problem with time window solved by a new non dominated algorithm
نویسنده
چکیده
This paper presented an approach to solve Cluster Real Time Vehicle Routing Problem with Time Window (CRTVRPTW) in different scenarios. The objectives of the problem was to find routes for vehicles to service all the customers at a minimal cost in terms of number of vehicles, total travel distance, total time and vehicle refueling. This paper tries to address this issue by proposing an original evolutionary approach: Non-dominated Mutated Front Algorithm (NDMFA). The solution to the CRTVRPTW, in this paper, was obtained through new genetic operators. We proposed new cross over (Random Insertion Crossover Method (RICM)) and mutation method (Random Select Mutation Technique (RSMT)). The customers were enclosed in different clusters depending upon demand and time.
منابع مشابه
An Improved Hybrid Cuckoo Search Algorithm for Vehicle Routing Problem with Time Windows
Transportation in economic systems such as services, production and distribution enjoys a special and important position and provides a significant portion of the country's gross domestic product. Improvements in transportation system mean improvements in the traveling routes and the elimination of unnecessary distances in any system. The Vehicle Routing Problem (VRP) is one of the practical co...
متن کاملSolving a New Multi-objective Inventory-Routing Problem by a Non-dominated Sorting Genetic Algorithm
This paper considers a multi-period, multi-product inventory-routing problem in a two-level supply chain consisting of a distributor and a set of customers. This problem is modeled with the aim of minimizing bi-objectives, namely the total system cost (including startup, distribution and maintenance costs) and risk-based transportation. Products are delivered to customers by some heterogeneous ...
متن کاملA novel heuristic algorithm for capacitated vehicle routing problem
The vehicle routing problem with the capacity constraints was considered in this paper. It is quite difficult to achieve an optimal solution with traditional optimization methods by reason of the high computational complexity for large-scale problems. Consequently, new heuristic or metaheuristic approaches have been developed to solve this problem. In this paper, we constructed a new heuristic ...
متن کاملSolving a bi-objective mathematical model for location-routing problem with time windows in multi-echelon reverse logistics using metaheuristic procedure
During the last decade, the stringent pressures from environmental and social requirements have spurred an interest in designing a reverse logistics (RL) network. The success of a logistics system may depend on the decisions of the facilities locations and vehicle routings. The location-routing problem (LRP) simultaneously locates the facilities and designs the travel routes for vehicles among ...
متن کاملA Quantum Evolutionary Algorithm for the Vehicle Routing Problem with Single-sided Time Window Setting
Customer service level is of prime importance in today competitive world and has various dimensions with delivery quality being one of the most important ones. Delivery quality has several parameters such as deliver time window options, time window size, etc. In this paper we focus on one of these parameters, namely time window setting. It has a direct impact upon customer satisfaction and busi...
متن کامل