A Bayesian Optimization Approach for Tuning a Grouping Genetic Algorithm for Solving Practically Oriented Pickup and Delivery Problems
Background: The Multi Depot Pickup and Delivery Problem with Time Windows and
Heterogeneous Vehicle Fleets (MDPDPTWHV) is a strongly practically oriented routing …
Heterogeneous Vehicle Fleets (MDPDPTWHV) is a strongly practically oriented routing …
[PDF][PDF] A Bayesian Optimization Approach for Tuning a Genetic Algorithm Solving Practical-Oriented Pickup and Delivery Problems
C Ruther, J Rieck - IEEE Transactions on Automation Science …, 2021 - uni-hildesheim.de
The Multi Depot Pickup and Delivery Problem with Time Windows and Heterogeneous
Vehicle Fleets combines many real-world constraints and is therefore a strongly …
Vehicle Fleets combines many real-world constraints and is therefore a strongly …
A grouping genetic algorithm for multi depot pickup and delivery problems with time windows and heterogeneous vehicle fleets
Abstract The Multi Depot Pickup and Delivery Problem with Time Windows and
Heterogeneous Vehicle Fleets is a Rich Vehicle Routing Problem as it combines many real …
Heterogeneous Vehicle Fleets is a Rich Vehicle Routing Problem as it combines many real …
Fleet management for pickup and delivery problems with multiple locations and preferences
J Los, MTJ Spaan, RR Negenborn - … in Logistics: Proceedings of the 6th …, 2018 - Springer
To provide more routing flexibility and improve service in delivery processes, we extend the
Pickup and Delivery Problem with multiple time-location combinations for service …
Pickup and Delivery Problem with multiple time-location combinations for service …
Decomposition-Based Multiobjective Evolutionary Optimization With Tabu Search for Dynamic Pickup and Delivery Problems
Dynamic pickup and delivery problems (DPDPs) with various constraints, such as docks,
time windows, capacity, and last-in-first-out loading, have posed significant challenges for …
time windows, capacity, and last-in-first-out loading, have posed significant challenges for …
[图书][B] Investigating heuristic and meta-heuristic algorithms for solving pickup and delivery problems
MI Hosny - 2010 - search.proquest.com
The development of effective decision support tools that can be adopted in the transportation
industry is vital in the world we live in today, since it can lead to substantial cost reduction …
industry is vital in the world we live in today, since it can lead to substantial cost reduction …
[HTML][HTML] Large neighbourhood search with adaptive guided ejection search for the pickup and delivery problem with time windows
An effective and fast hybrid metaheuristic is proposed for solving the pickup and delivery
problem with time windows. The proposed approach combines local search, large …
problem with time windows. The proposed approach combines local search, large …
Multi-vehicle selective pickup and delivery using metaheuristic algorithms
The pickup and delivery problem (PDP) addresses real-world problems in logistics and
transportation, and establishes a critical class of vehicle routing problems. This study …
transportation, and establishes a critical class of vehicle routing problems. This study …
Dynamic vehicle routing by means of a genetic algorithm
G Pankratz - International Journal of Physical Distribution & …, 2005 - emerald.com
Purpose–To propose and to evaluate a new genetic algorithm (GA) for solving the dynamic
pickup and delivery problem with time windows (DPDPTW). Design/methodology/approach …
pickup and delivery problem with time windows (DPDPTW). Design/methodology/approach …
Iterated local search embedded adaptive neighborhood selection approach for the multi-depot vehicle routing problem with simultaneous deliveries and pickups
J Li, PM Pardalos, H Sun, J Pei, Y Zhang - Expert Systems with Applications, 2015 - Elsevier
Although the multi-depot vehicle routing problem with simultaneous deliveries and pickups
(MDVRPSDP) is often encountered in real-life scenarios of transportation logistics, it has …
(MDVRPSDP) is often encountered in real-life scenarios of transportation logistics, it has …