[HTML][HTML] Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art

M Karimi-Mamaghan, M Mohammadi, P Meyer… - European Journal of …, 2022 - Elsevier
In recent years, there has been a growing research interest in integrating machine learning
techniques into meta-heuristics for solving combinatorial optimization problems. This …

A taxonomic review of metaheuristic algorithms for solving the vehicle routing problem and its variants

R Elshaer, H Awad - Computers & Industrial Engineering, 2020 - Elsevier
Recently, a taxonomic review of the Vehicle Routing Problem (VRP) literature published
between 2009 and June 2015 stated that most of the surveyed articles use metaheuristics …

The vehicle routing problem: State of the art classification and review

K Braekers, K Ramaekers… - Computers & industrial …, 2016 - Elsevier
Over the past decades, the Vehicle Routing Problem (VRP) and its variants have grown ever
more popular in the academic literature. Yet, the problem characteristics and assumptions …

Operating room planning and surgical case scheduling: a review of literature

S Zhu, W Fan, S Yang, J Pei, PM Pardalos - Journal of Combinatorial …, 2019 - Springer
This paper provides a comprehensive survey of research on operating room planning and
scheduling problems. Aiming to give a comprehensive classification on the studied …

A review of vehicle routing with simultaneous pickup and delivery

Ç Koç, G Laporte, İ Tükenmez - Computers & Operations Research, 2020 - Elsevier
In the vehicle routing problem with simultaneous pickup and delivery (VRPSPD), goods
have to be transported from different origins to different destinations, and each customer has …

Learning to select operators in meta-heuristics: An integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem

M Karimi-Mamaghan, M Mohammadi… - European Journal of …, 2023 - Elsevier
This paper aims at integrating machine learning techniques into meta-heuristics for solving
combinatorial optimization problems. Specifically, our study develops a novel efficient …

[PDF][PDF] A history of metaheuristics

K Sorensen, M Sevaux, F Glover - arXiv preprint arXiv:1704.00853, 2017 - arxiv.org
A History of Metaheuristics arXiv:1704.00853v1 [cs.AI] 4 Apr 2017 Page 1 A History of
Metaheuristics ∗ Kenneth Sörensen Marc Sevaux Fred Glover Abstract This chapter …

An efficient harris hawk optimization algorithm for solving the travelling salesman problem

FS Gharehchopogh, B Abdollahzadeh - Cluster Computing, 2022 - Springer
Abstract Travelling Salesman Problem (TSP) is an Np-Hard problem, for which various
solutions have been offered so far. Using the Harris Hawk Optimization (HHO) algorithm, this …

A multi-adaptive particle swarm optimization for the vehicle routing problem with time windows

Y Marinakis, M Marinaki, A Migdalas - Information Sciences, 2019 - Elsevier
In this paper, a new variant of the Particle Swarm Optimization (PSO) algorithm is proposed
for the solution of the Vehicle Routing Problem with Time Windows (VRPTW). Three different …

Collaborative multicenter vehicle routing problem with time windows and mixed deliveries and pickups

Y Wang, L Ran, X Guan, J Fan, Y Sun… - Expert Systems with …, 2022 - Elsevier
This study focuses on the collaborative multicenter vehicle routing problem with time
windows and mixed deliveries and pickups (CMVRPTWMDP), which is a variant of the …