Design of a Genetic Algorithm with Hybrid Initialization for the 2E-LRP Solution Considering Heterogeneous Fleet
DOI:
https://doi.org/10.69681/lajae.v5i1.25Keywords:
Genetic algorithm, Location, Multi-echelon, RoutingAbstract
Humanitarian logistics is one of the main means to face the negative effects of adverse events that put at risk the integrity or life of human beings. In this sense, the present work addresses the problem of localization and multi-scale routing, in order to design a computational tool, which allows to achieve a timely delivery of the necessary resources to meet such emergencies. The problem is formulated as a mixed integer linear programming model, taking into account the objective of minimizing the total cost and considering heterogeneous fleet. As a solution method, a genetic algorithm is developed and a new solution coding is proposed. Numerical experiments show that, for instances up to 600 customers, adequate solutions are obtained in a reasonable computation time. Finally, the statistical analysis allows inferring that the genetic components: population size, number of generations and crossover probability, have a great impact on the quality and performance of the proposed algorithm.
Downloads
Downloads
Published
How to Cite
License
Copyright (c) 2022 Latin American Journal of Applied Engineeringg
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with Latin American Journal of Applied Engineering agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License 4.0 that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
