A Multi-Threaded Cuckoo Search Algorithm for the Capacitated Vehicle Routing Problem

Author(s):  
Dominik Troxler ◽  
Thomas Hanne ◽  
Rolf Dornberger
2013 ◽  
Vol 859 ◽  
pp. 395-398
Author(s):  
Chun Yu Ren

This paper studies the vehicle routing problem. According to the characteristics of model, new tabu search algorithm is used to get the optimization solution. It applies newly improved insertion method to construct initial solution, to improve the feasibility of the solution; designs dual layered random operation to construct its neighborhood; applies auto adaptive tabu length to control the searching capability dynamically. At last, it uses simulated experiments to prove the effectiveness and feasibility of this algorithm, and provides clues for massively solving practical problems.


Symmetry ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 2088
Author(s):  
Mansour Alssager ◽  
Zulaiha Ali Othman ◽  
Masri Ayob ◽  
Rosmayati Mohemad ◽  
Herman Yuliansyah

Having the best solution for Vehicle Routing Problem (VRP) is still in demand. Beside, Cuckoo Search (CS) is a popular metaheuristic based on the reproductive strategy of the Cuckoo species and has been successfully applied in various optimizations, including Capacitated Vehicle Routing Problem (CVRP). Although CS and hybrid CS have been proposed for CVRP, the performance of CS is far from the state-of-art. Therefore, this study proposes a hybrid CS with Simulated Annealing (SA) algorithm for the CVRP, consisting of three improvements—the investigation of 12 neighborhood structures, three selections strategy and hybrid it with SA. The experiment was conducted using 16 instances of the Augerat benchmark dataset. The results show that 6 out of 12 neighborhood structures were the best and the disruptive selection strategy is the best strategy. The experiments’ results showed that the proposed method could find optimal and near-optimal solutions compared with state-of-the-art algorithms.


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