[HTML][HTML] Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art
In recent years, there has been a growing research interest in integrating machine learning
techniques into meta-heuristics for solving combinatorial optimization problems. This …
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
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 …
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 …
more popular in the academic literature. Yet, the problem characteristics and assumptions …
Operating room planning and surgical case scheduling: a review of literature
This paper provides a comprehensive survey of research on operating room planning and
scheduling problems. Aiming to give a comprehensive classification on the studied …
scheduling problems. Aiming to give a comprehensive classification on the studied …
A review of vehicle routing with simultaneous pickup and delivery
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 …
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 …
combinatorial optimization problems. Specifically, our study develops a novel efficient …
[PDF][PDF] A history of metaheuristics
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 …
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 …
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
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 …
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
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 …
windows and mixed deliveries and pickups (CMVRPTWMDP), which is a variant of the …