Using Genetic Algorithms for Concept Learning
Machine Learning - Special issue on genetic algorithms
Sequencing parallel machining operations by genetic algorithms
Computers and Industrial Engineering - Special issue on computational intelligence for industrial engineering
A genetic algorithm for the vehicle routing problem
Computers and Operations Research
Real-time task scheduling with fuzzy uncertainty in processing times and deadlines
Applied Soft Computing
Advances in Engineering Software
A hybrid genetic algorithm for the multi-depot vehicle routing problem
Engineering Applications of Artificial Intelligence
Ant colony optimization for the two-dimensional loading vehicle routing problem
Computers and Operations Research
A hybrid genetic algorithm that optimizes capacitated vehicle routing problems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Dynamic window reduction for the multiple depot vehicle scheduling problem with time windows
Computers and Operations Research
Production scheduling and vehicle routing with time windows for perishable food products
Computers and Operations Research
Two memetic algorithms for heterogeneous fleet vehicle routing problems
Engineering Applications of Artificial Intelligence
Hi-index | 12.05 |
Third party logistics service providers (3PLs) have an important role in supply chain management. Increasing cooperation with 3PLs is expanding in today's business environment. Hence, 3PLs need to have an efficient distribution network to meet customer demands. Nevertheless, few researches have tried to propose a solution for distribution network problems of 3PLs. The optimization problem which is discussing in our study is solved in two stages. At the first stage, the assignment problem which includes assigning the order of the vehicles is solved with mixed integer programming by using GAMS 21.6/CPLEX. The output of the first stage is used as an input in the second stage. In this stage routes are determined for vehicles by developing a genetic algorithm by using C#.