Metaheuristics for Solving the Multi-Stage Hybrid Flow Shop Scheduling Problem with Dedicated Machines

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Publication Details

Journal
International Journal of Advanced Operations Management
Published
2025-01-01
DOI
https://doi.org/10.1504/ijaom.2025.10074414
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

Metaheuristics for Solving the Multi-Stage Hybrid Flow Shop Scheduling Problem with Dedicated Machines

Najla Aissaoui, Safa Bhar Layeb, Asma Ouled Bedhief, Amira Brahmi
International Journal of Advanced Operations Management
Scheduling and Optimization Algorithms
article

Metaheuristics for Solving the Multi-Stage Hybrid Flow Shop Scheduling Problem with Dedicated Machines

Najla Aissaoui, Safa Bhar Layeb, Asma Ouled Bedhief, Amira Brahmi
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Advanced Operations ManagementVol. 16(4)
Openalex Percentile: Top 55%
Scheduling and Optimization Algorithms
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Metaheuristics for Solving the Multi-Stage Hybrid Flow Shop Scheduling Problem with Dedicated Machines — Najla Aissaoui, Safa Bhar Layeb, et al. · International Journal of Advanced Operations Management (2025) | TGRS Research Map | TGRS