Outranking-based multi-objective PSO for scheduling unrelated parallel machines with a freight industry-oriented application
G Rivera, R Porras, JP Sanchez-Solis… - … Applications of Artificial …, 2022 - Elsevier
This paper presents Outranking-based Particle Swarm Optimisation (O-PSO) a novel
metaheuristic to address the multi-objective Unrelated Parallel Machine Scheduling …
metaheuristic to address the multi-objective Unrelated Parallel Machine Scheduling …
Task scheduling with makespan minimization for distributed machine learning ensembles
J Monteiro, D Carneiro - … IEEE 4th Eurasia Conference on IOT …, 2022 - ieeexplore.ieee.org
Machine Learning problems are becoming increasingly complex, mostly due to the size of
datasets. Data are also generated at increasing speed, which requires models to be …
datasets. Data are also generated at increasing speed, which requires models to be …
High Performance Algorithms for the Unrelated Parallel Machines Scheduling Problem with a Common Server and Job-Sequence Dependent Setup Times
Y Hadhbi, L Deroussi, N Grangeon, S Norre… - … on Metaheuristics and …, 2023 - Springer
In this paper we study a variant of the non-preemptive unrelated parallel machines
scheduling problem with sequence-dependent setup times and machine eligibility …
scheduling problem with sequence-dependent setup times and machine eligibility …
[图书][B] Collision-free path coordination and cycle time optimization of industrial robot cells
D Spensieri - 2021 - search.proquest.com
In industry, short ramp-up times, product quality, product customization and high production
rates are among the main drivers of technological progress. This is especially true for …
rates are among the main drivers of technological progress. This is especially true for …
[图书][B] Mathematical Modelling and Methods for Load Balancing and Coordination of Multi-Robot Stations
E Åblad - 2022 - search.proquest.com
The automotive industry is moving from mass production towards an individualized
production, individualizing parts aims to improve product quality and to reduce costs and …
production, individualizing parts aims to improve product quality and to reduce costs and …
High Performance Algorithms for the Unrelated Parallel Machines Scheduling Problem with a Common Server and Job-Sequence Dependent Setup Times
S Norre, C Blanchon - … and Nature Inspired Computing: 9th International … - books.google.com
In this paper we study a variant of the non-preemptive unrelated parallel machines
scheduling problem with sequence-dependent setup times and machine eligibility …
scheduling problem with sequence-dependent setup times and machine eligibility …
Sequentially connected 2D assignment problems solved using Lagrangian dual methods
C Carlsson, H Ekelund - 2022 - odr.chalmers.se
Multi-object tracking (MOT) algorithms are used to track different objects over time. The
GOSPA metric has been used to accurately quantify object tracking in one time step, but it …
GOSPA metric has been used to accurately quantify object tracking in one time step, but it …
Outranking-based multi-objective PSO for scheduling unrelated parallel machines with a freight industry-oriented application
G Rivera Zarate - Instituto de Ingeniería y Tecnología, 2021 - cathi.uacj.mx
This paper presents Outranking-based Particle Swarm Optimisation (O-PSO) a novel
metaheuristic to address the multi-objective Unrelated Parallel Machine Scheduling …
metaheuristic to address the multi-objective Unrelated Parallel Machine Scheduling …