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Application of heuristic methods in real vehicle routing problem
Slavíková, Monika ; Fábry, Jan (advisor) ; Kobzareva, Maria (referee)
This thesis is continuation of the bachelor thesis "Model of delivery routes and placement logistics centers with opportunities of their optimization". It is about distribution problems and specifically a vehicle routing problem. The aim of this thesis is finding a solution of the vehicle routing problem which will be used repeatedly in the firm. The main task is achieving the lowest costs (total kilometers) with maximum utilization of vehicle capacity; in such conditions that all requirements of logistics centers will be satisfied and maximal capacity of vehicle will be tolerated. For calculation was used a solver Gurobi 6.0.3 in system MPL for Windows 4.2, which won't, however, provide the optimal solution and problem solving takes too long time. Next for calculation was used heuristics insert method and is written by VBA (Visual Basic for Applications) in MS Excel. Finally, there is a comparison of these methods with the original solution of the vehicle routing plan and solution of the bachelor thesis. Then the computational experiment was done, which tested effect to result, if other distribution center (starting point) will be bulit. The computational experiment was consist from heuristic insert method, solver Gurobi and heuristic saving algorithm from bachelor thesis.
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Parcel pick-up optimization
Kozárová, Barbora ; Skočdopolová, Veronika (advisor) ; Šindelářová, Irena (referee)
Vehicle routing problems solve problems of optimizing the transport routes. The principle of solutions of problems of the first type is finding the shortest circuit that begins and ends in the same place and includes places that can be visited in any order, each of them has to be visited exactly once. In the second type of problems there is also considered the size of the requirements and the capacity of the vehicle, which has to return back to the store. Both tasks can be extended to the so-called time windows, which indicate the interval between the earliest possible and latest allowable start of the customer service. This work aims to calculate the optimal route for the drivers of unnamed wholesale company. The objective is to minimize the distance travelled per day in order to reduce fuel costs. The solution is implemented using the models of Travelling Salesman problem, Vehicle Routing problem and their modifications with time windows through systems LINGO, eventually GUROBI, and MPL for Windows. To illustrate the application of heuristic methods the calculation is carried out by savings method.
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Ant Colony Optimization
Zahálka, Jaroslav ; Fábry, Jan (advisor) ; Zouhar, Jan (referee)
This diploma thesis deals with Ant Colony algorithms and their usage for solving Travelling Salesman Problems and Vehicle Routing Problems. These algorithms are metaheuristics offering new approach to solving NP-hard problems. Work begins with a description of the forementioned tasks including ways to tackle them. Next chapter analyses Ant Colony metaheuristic and its possible usage and variations. The most important part of the thesis is practical and is represented by application Ant Colony Optimization Framework. It is easily extensible application written in Java that is able to solve introduced problems. In conclusion this work presents analysis of solutions on test data.
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