Skewed general variable neighborhood search for the cumulative capacitated vehicle routing problem

2018 ◽  
Vol 27 (1) ◽  
pp. 651-664 ◽  
Author(s):  
Noura Smiti ◽  
Mohamed Mahjoub Dhiaf ◽  
Bassem Jarboui ◽  
Saïd Hanafi
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Variable Neighborhood Search ◽  
Neighborhood Search ◽  
Routing Problem ◽  
Capacitated Vehicle Routing Problem ◽  
Capacitated Vehicle

scholarly journals An efficient meta-heuristic algorithm for solving capacitated vehicle routing problem

2018 ◽  
Vol 4 (3) ◽  
pp. 212 ◽  
Author(s):  
Alfian Faiz ◽  
Subiyanto Subiyanto ◽  
Ulfah Mediaty Arief
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Variable Neighborhood Search ◽  
Neighborhood Search ◽  
Perturbation Scheme ◽  
Selection Mechanism ◽  
Routing Problem ◽  
Adaptive Selection ◽  
Capacitated Vehicle Routing Problem ◽  
Capacitated Vehicle

This work aims to develop an enhanced Perturbation based Variable Neighborhood Search with Adaptive Selection Mechanism (PVNS ASM) to solve the capacitated vehicle routing problem (CVRP). This approach combined Perturbation based Variable Neighborhood Search (PVNS) with Adaptive Selection Mechanism (ASM) to control perturbation scheme. Instead of stochastic approach, selection of perturbation scheme used in the algorithm employed an empirical selection based on success rate of each perturbation scheme along the search. The ASM helped algorithm to get more diversification degree and jumping from local optimum condition using most successful perturbation scheme empirically in the search process. A comparative analysis with existing heuristics in the literature has been performed on 21 CVRP benchmarks. The computational results proof that the developed method is competitive and very efficient in achieving high quality solution within reasonable computation time.

scholarly journals A Multi-Start Algorithm for Solving the Capacitated Vehicle Routing Problem with Two-Dimensional Loading Constraints

2021 ◽  
Author(s):  
Leandro Pinto Fava ◽  
João Carlos Furtado ◽  
Gilson Augusto Helfer ◽  
Marko Beko ◽  
Sérgio Duarte Correia ◽  
...  
Keyword(s):  
Graph Theory ◽  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Neighborhood Search ◽  
Two Dimensional ◽  
Routing Problem ◽  
Capacitated Vehicle Routing Problem ◽  
Graph Modeling ◽  
Loading Constraints ◽  
Capacitated Vehicle

This work presents a multi-start algorithm for solving the capacitated vehicle routing problem with two-dimensional loading constraints (2L-CVRP) allowing for the rotation of goods. Researches dedicated to graph theory and symmetry considered the vehicle routing problem as a classical application. This problem has complex aspects that stimulate the use of advanced algorithms and symmetry in graphs. The use of graph modeling of the 2L-CVRP problem by undirected graph allowed the high performance of the algorithm. The developed algorithm is based on metaheuristics such as the Constructive Genetic Algorithm (CGA), to construct promising initial solutions; a Tabu Search (TS), to improve the initial solutions on the routing problem; and a Large Neighborhood Search (LNS), for the loading subproblem. Although each one of these algorithms allowed to solve parts of the 2L-CVRP, the combination of these three algorithms to solve this problem was unprecedented in the scientific literature. In our approach, a parallel mechanism for checking the loading feasibility of routes was implemented using multi-threading programming to improve the performance. Additionally, memory structures, like hash-tables, were implemented to save time by storing and querying previously evaluated results for the loading feasibility of routes. For benchmarks, tests were done on well-known instances available in the literature. The results proved that the framework matched or outperformed most of the previous approaches. As the main contribution, this work brings higher quality solutions for large-size instances of the pure CVRP. This paper involves themes related to the symmetry journal, mainly complex algorithms, graphs, search strategies, complexity, graph modeling, and genetic algorithms. In addition, the paper especially focuses on topic-related aspects of special interest of the community involved in symmetry studies, such as, graph algorithms and graph theory.

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