A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem-Reference-Cited by-同舟云学术

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A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem

Published:2024-10 Issue: Volume:252 Page:124197
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Rodríguez-Esparza Erick^ORCID,Masegosa Antonio D.^ORCID,Oliva Diego^ORCID,Onieva Enrique^ORCID

Publisher

Elsevier BV

Reference66 articles.

1. Recent challenges in routing and inventory routing: E-commerce and last-mile delivery;Archetti;Networks,2021

2. Green vehicle routing problem: A state-of-the-art review;Asghari;International Journal of Production Economics,2020

3. Finite-time analysis of the multiarmed bandit problem;Auer;Machine Learning,2002

4. Aziz, N. A., Ibrahim, Z., Razali, S., & Aziz, N. A. A. (2016). Estimation-based metaheuristics: A new branch of computational intelligence. In The national conference for postgraduate research (pp. 469–476).

5. E-commerce trends during COVID-19 pandemic;Bhatti;International Journal of Future Generation Communication and Networking,2020

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of an Improved Harmony Search Algorithm on Electric Vehicle Routing Problems;Energies;2024-07-27

2. A Bilevel Hybrid Genetic Algorithm for Capacitated Electric Vehicle Routing Problem;2024 IEEE Congress on Evolutionary Computation (CEC);2024-06-30

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