دورية أكاديمية

Hybridization of Particle Swarm Optimization with Variable Neighborhood Search and Simulated Annealing for Improved Handling of the Permutation Flow-Shop Scheduling Problem

التفاصيل البيبلوغرافية
العنوان: Hybridization of Particle Swarm Optimization with Variable Neighborhood Search and Simulated Annealing for Improved Handling of the Permutation Flow-Shop Scheduling Problem
المؤلفون: Iqbal Hayat, Adnan Tariq, Waseem Shahzad, Manzar Masud, Shahzad Ahmed, Muhammad Umair Ali, Amad Zafar
المصدر: Systems, Vol 11, Iss 5, p 221 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Systems engineering
LCC:Technology (General)
مصطلحات موضوعية: permutation flow-shop scheduling problems (PFSP), particle swarm optimization (PSO), makespan, hybrid particle swarm optimization (HPSO), metaheuristic, Systems engineering, TA168, Technology (General), T1-995
الوصف: Permutation flow-shop scheduling is the strategy that ensures the processing of jobs on each subsequent machine in the exact same order while optimizing an objective, which generally is the minimization of makespan. Because of its NP-Complete nature, a substantial portion of the literature has mainly focused on computational efficiency and the development of different AI-based hybrid techniques. Particle Swarm Optimization (PSO) has also been frequently used for this purpose in the recent past. Following the trend and to further explore the optimizing capabilities of PSO, first, a standard PSO was developed during this research, then the same PSO was hybridized with Variable Neighborhood Search (PSO-VNS) and later on with Simulated Annealing (PSO-VNS-SA) to handle Permutation Flow-Shop Scheduling Problems (PFSP). The effect of hybridization was validated through an internal comparison based on the results of 120 different instances devised by Taillard with variable problem sizes. Moreover, further comparison with other reported hybrid metaheuristics has proved that the hybrid PSO (HPSO) developed during this research performed exceedingly well. A smaller value of 0.48 of ARPD (Average Relative Performance Difference) for the algorithm is evidence of its robust nature and significantly improved performance in optimizing the makespan as compared to other algorithms.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2079-8954
Relation: https://www.mdpi.com/2079-8954/11/5/221; https://doaj.org/toc/2079-8954
DOI: 10.3390/systems11050221
URL الوصول: https://doaj.org/article/03315cfd04eb4e5f905423d6cd017c71
رقم الأكسشن: edsdoj.03315cfd04eb4e5f905423d6cd017c71
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20798954
DOI:10.3390/systems11050221