Tabu Search Algorithm for Solving the Vehicle Routing Problem
Cui-hua Guan, Yan Cao, Jing Shi
Abstract
Cui-hua Guan, Yan Cao, Jing Shi
Abstract
We start with the background and the solutions of vehicle routing problem, and then focus on the interpretation of Tabu search algorithm and the impact of its key factors. In particular, the idea of tabu search algorithm is applied to solve the vehicle routing problem. We design a new intuitive and easy to understand client-direct-arrangement solution method, and finally realize the algorithm through C language. The experimental results show that the algorithm is feasible and have high quality solutions.
OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
We start with the background and the solutions of vehicle routing problem, and then focus on the interpretation of Tabu search algorithm and the impact of its key factors. In particular, the idea of tabu search algorithm is applied to solve the vehicle routing problem. We design a new intuitive and easy to understand client-direct-arrangement solution method, and finally realize the algorithm through C language. The experimental results show that the algorithm is feasible and have high quality solutions.
Key concepts: Tabu search, Vehicle routing problem, Guided Local Search, Computer science, Routing (electronic design automation), Mathematical optimization, Key (lock), Algorithm