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 …
A literature review on the vehicle routing problem with multiple depots
JR Montoya-Torres, JL Franco, SN Isaza… - Computers & Industrial …, 2015 - Elsevier
In this paper, we present a state-of-the-art survey on the vehicle routing problem with
multiple depots (MDVRP). Our review considered papers published between 1988 and …
multiple depots (MDVRP). Our review considered papers published between 1988 and …
Reinforcement learning for solving the vehicle routing problem
We present an end-to-end framework for solving the Vehicle Routing Problem (VRP) using
reinforcement learning. In this approach, we train a single policy model that finds near …
reinforcement learning. In this approach, we train a single policy model that finds near …
A hybrid algorithm using ant and bee colony optimization for feature selection and classification (AC-ABC Hybrid)
Abstract Ant Colony Optimization (ACO) and Bee Colony Optimization (BCO) are famous
meta-heuristic search algorithms used in solving numerous combinatorial optimization …
meta-heuristic search algorithms used in solving numerous combinatorial optimization …
Ant colony optimization with clustering for solving the dynamic location routing problem
Ant colony algorithm can resolve dynamic optimization problems due to its robustness and
adaptation. The aim of such algorithms in dynamic environments is no longer to find an …
adaptation. The aim of such algorithms in dynamic environments is no longer to find an …
Collaborative two-echelon multicenter vehicle routing optimization based on state–space–time network representation
Collaboration among service providers in a logistics network can greatly increase their
operation efficiencies and reduce transportation emissions. This study proposes, formulates …
operation efficiencies and reduce transportation emissions. This study proposes, formulates …
Hybrid whale optimization algorithm for enhanced routing of limited capacity vehicles in supply chain management
The present study focuses on the problem of vehicle routing with limited capacity, with the
objective of minimizing the transportation distance required to serve h clients with …
objective of minimizing the transportation distance required to serve h clients with …
An improved ant colony optimization algorithm based on particle swarm optimization algorithm for path planning of autonomous underwater vehicle
G Che, L Liu, Z Yu - Journal of Ambient Intelligence and Humanized …, 2020 - Springer
The motion control of autonomous underwater vehicle (AUV) has got more and more
attention because AUV has been used in many applications in recent years. In order to find …
attention because AUV has been used in many applications in recent years. In order to find …
Memetic search for the minmax multiple traveling salesman problem with single and multiple depots
The minmax multiple traveling salesman problem with single depot (the minmax mTSP) or
multiple depots (the minmax multidepot mTSP) aims to minimize the longest tour among a …
multiple depots (the minmax multidepot mTSP) aims to minimize the longest tour among a …
Cement transport vehicle routing with a hybrid sine cosine optimization algorithm
This study will solve the classical vehicle routing problem, the goal is to generate k trips with
the shortest distance for h customers with predetermined locations and needs.. The …
the shortest distance for h customers with predetermined locations and needs.. The …