[PDF] Top 20 Genetic Algorithm for Vehicle Routing Problem with Backhauls

... The objective function of the proposed model is to minimize the total distance. Constraints (2) and (3) ensure that from any node except depot just one route passes. Constraints (4) and (5) denote the number of vehicles ... See full document

... classical vehicle routing problem with backhauls (VRPB) the customers are divided into two sets; the linehaul and backhaul customers, so that the distribution and collection services of goods ... See full document

... the vehicle routing problem with backhauls (VRPB), the customers are partitioned into two subsets: linehaul (delivery) and backhaul (pickup) ...capacitated vehicle routing ... See full document

... The problem lies in finding an efficient GA-based meta-heuristic which is more efficient than existing ...A genetic algo- rithm to solve the TDVRP is developed. The problem that has been considered ... See full document

... new genetic algorithm is developed for solving capacitated vehicle routing problem (CVRP) in situations where demand is unknown till the beginning of the ...new genetic ... See full document

... Genetic Algorithm (GA) is one of the methods of Meta- heuristic ...Meta-heuristic algorithm finds solutions in less computational time for routing ...Search Algorithm for the Multi ... See full document

... bi-objective vehicle routing problem with forced backhauls were introduced by Anbuudayasankar et ...savings algorithm and the third heuristic is based on a Genetic ... See full document

... appropriate vehicle in real time [40, ...The problem size of transport manager changes therefore in real time [42, ...real-time vehicle routing problem with time windows and ... See full document

... the problem parameters (demand, time, distance, city location, etc) are often ...the problem is formulated and how the solution is ...a vehicle routing model may generate sub optimal or even ... See full document

... each vehicle route, then up to 72 different solutions can be ...specific vehicle route within a ...each vehicle route, a feasible solution can be ...hybrid genetic algorithm with a ... See full document

... The definition used in the Metaheuristics Network (2000) is as follows. A metaheuristic is a set of concepts that can be used to define heuristic methods that can be applied to a wide set of different problems. In other ... See full document

... single vehicle: Iterated Local Search, Tabu Search, Simulated Annealing, Ant Colony Optimization and Evolutionary Algorithm (Genetic Algorithm) that found better solution quality in respect to ... See full document

... Inventory Routing Problem, which is a combination of distribution and inventory ...Inventory Routing Problem based on the Multiple Delivery Strategy along with one of the functionalities of ... See full document

... Genetic algorithm is based on the population formed by potential solutions to resolve problems as a starting point, and each population contains a certain number of individuals, and these individuals are ... See full document

... on vehicle routing problem of emergency logistics ...the problem. And then construct heuristic algorithm for its ...of Genetic Algorithms is a good way to this kind ... See full document

... Vehicle Routing Problem (VRP) is a real life constraint satisfaction problem to find minimal travel distances of vehicles to serve ...considering vehicle capacity ...Savings ... See full document

... a genetic algorithm (GA) to the basic vehicle routing problem with tow-dimensional loading constraints ...(2L-CVRP). Vehicle routing problem encompasses a whole ... See full document

... metaheuristic algorithm to solve the Multi-Depot Vehicle Routing Problem with a Heterogeneous Fleet ...The problem consists of determining the customers and the vehicles to be assigned ... See full document

... recently. Reference [1] considered the VRPTW with uncertain travel times. The objective was to minimize the total cost which included the penalty costs due to the early and late arrivals, the operation costs and the fixed ... See full document

... new problem instances for the same type, ...the problem type out of this set, is not ...on genetic programming as well, making them unsuitable as well given the issues with tuning time that will ... See full document