A Global Neighborhood with Hill-Climbing Algorithm for Fuzzy Flexible Job Shop Scheduling Problem

A Global Neighborhood with Hill-Climbing Algorithm for Fuzzy Flexible Job Shop Scheduling Problem

The Flexible Job Shop Scheduling Problem (FJSSP) continues to be studied extensively to test new metaheuristics and because of its closeness to current production systems. A variant of the FJSSP uses fuzzy processing times instead of fixed times. This paper proposes a new algorithm for FJSSP with fu...

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Bibliographic Details
Main Authors: Juan Carlos Seck-Tuoh-Mora, Nayeli Jazmín Escamilla-Serna, Leonardo Javier Montiel-Arrieta, Irving Barragan-Vite, Joselito Medina-Marin
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Mathematics
Subjects:
job shop scheduling
fuzzy processing times
global search
hill climbing
critical path
Online Access:https://www.mdpi.com/2227-7390/10/22/4233

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https://www.mdpi.com/2227-7390/10/22/4233

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