Solving Rescheduling Problems in Dynamic Permutation Flow Shop Environments with Multiple Objectives Using the Hybrid Dynamic Non-Dominated Sorting Genetic II Algorithm

Solving Rescheduling Problems in Dynamic Permutation Flow Shop Environments with Multiple Objectives Using the Hybrid Dynamic Non-Dominated Sorting Genetic II Algorithm

In this work, we seek to design a model that contributes to the study and resolution of a multi-objective rescheduling problem in dynamic permutation flow shop contexts. In this type of problem, where the objectives can be valued in heterogeneous units, the difficulty of achieving an optimal solutio...

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Bibliographic Details
Main Authors: Pablo Valledor, Alberto Gomez, Javier Puente, Isabel Fernandez
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Mathematics
Subjects:
scheduling
multi-objective
dynamic scheduling
predictive-reactive
greedy
Online Access:https://www.mdpi.com/2227-7390/10/14/2395

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