An Analysis on Selection for High-Resolution Approximations in Many-Objective Optimization [PDF]
This work studies the behavior of three elitist multi- and many-objective evolutionary algorithms generating a high-resolution approximation of the Pareto optimal set.
Aguirre, Hernan +3 more
core +3 more sources
An adaptive large neighborhood search heuristic for the Electric Vehicle Scheduling Problem [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wen, M. +4 more
openaire +3 more sources
A template‐based adaptive large neighborhood search for the consistent vehicle routing problem [PDF]
Abstract–The importance of customer satisfaction was identified by many industries as a key factor of competitive advantage. So, for companies in the small package shipping industry, it can be reasonable to increase the service quality even at the expense of transportation cost to gain customer loyalty.
Kovacs, Attila A. +3 more
openaire +1 more source
Research on the scheduling method of ground resource under uncertain arrival time
We present a two-stage scheduling approach including proactive and reactive scheduling to solve the ground resource scheduling problem with uncertain arrival time.
Guoning Xu +4 more
doaj +1 more source
An adaptive large neighborhood search for a full truckload routing problem in public works [PDF]
International audienceThis paper presents a truck routing and scheduling problem faced by a public works company. Itconsists of optimizing the collection and delivery of materials between sites, using a heterogeneousfleet of vehicles.
Bostel, Nathalie +3 more
core +2 more sources
Background: This research aimed to establish a network linked to generation, for the transport route of tapioca starch products to a land port, serving as the logistics hub of Thailand’s Nakhon Ratchasima province.
Chakat Chueadee +2 more
doaj +1 more source
The Path Planning Problem of Robotic Delivery in Multi-Floor Hotel Environments
Robots have been widely adopted in transportation and delivery applications. Path planning plays a critical role in determining the performance of robotic systems in these tasks.
Linghui Han +3 more
doaj +1 more source
Improved Differential Evolution Algorithm to Solve the Advertising Method Selection Problem
This article proposes a methodology to resolve the advertising method selection problem (AdSP). The use of different advertising methods for the same product can generate different responses in terms of the product’s sales volume. Companies selling
Malichan Thongkham, Tassin Srivarapongse
doaj +1 more source
Online Control of Adaptive Large Neighborhood Search Using Deep Reinforcement Learning
The Adaptive Large Neighborhood Search (ALNS) algorithm has shown considerable success in solving combinatorial optimization problems (COPs). Nonetheless, the performance of ALNS relies on the proper configuration of its selection and acceptance parameters, which is known to be a complex and resource-intensive task. To address this, we introduce a Deep
REIJNEN, Reijnen +3 more
openaire +4 more sources
Parallel grid library for rapid and flexible simulation development
We present an easy to use and flexible grid library for developing highly scalable parallel simulations. The distributed cartesian cell-refinable grid (dccrg) supports adaptive mesh refinement and allows an arbitrary C++ class to be used as cell data ...
Honkonen, I. +4 more
core +1 more source

