The Ant Lion Optimization Algorithm for Flexible Process Planning
2015
Аутори
Petrović, MilicaPetronijević, Jelena
Mitić, Marko
Vuković, Najdan
Plemić, Aleksandar
Miljković, Zoran
Babić, Bojan
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Obtaining an optimal process plan according to all alternative manufacturing resources has become very important task in flexible process planning problem research. In this paper, we use a novel nature-inspired algorithm called Ant Lion Optimizer (ALO) to solve this NP-hard combinatorial optimization problem. The network representation is adopted to describe flexibilities in process planning and mathematical model for the minimization of the total production time and cost is presented. The algorithm is implemented in Matlab environment and run on the 3.10 GHz processor with 2 GBs of RAM memory. The presented experimental results show that the proposed algorithm performs better in comparison with other bio-inspired optimization algorithms.
Кључне речи:
flexible process planning / ant lion optimizer / particle swarm optimization / genetic algorithms / simulated annealingИзвор:
Journal of Production Engineering, 2015, 18, 2, 65-68Издавач:
- University of Novi Sad - Faculty of Technical Sciences
Финансирање / пројекти:
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Petrović, Milica AU - Petronijević, Jelena AU - Mitić, Marko AU - Vuković, Najdan AU - Plemić, Aleksandar AU - Miljković, Zoran AU - Babić, Bojan PY - 2015 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4419 AB - Obtaining an optimal process plan according to all alternative manufacturing resources has become very important task in flexible process planning problem research. In this paper, we use a novel nature-inspired algorithm called Ant Lion Optimizer (ALO) to solve this NP-hard combinatorial optimization problem. The network representation is adopted to describe flexibilities in process planning and mathematical model for the minimization of the total production time and cost is presented. The algorithm is implemented in Matlab environment and run on the 3.10 GHz processor with 2 GBs of RAM memory. The presented experimental results show that the proposed algorithm performs better in comparison with other bio-inspired optimization algorithms. PB - University of Novi Sad - Faculty of Technical Sciences T2 - Journal of Production Engineering T1 - The Ant Lion Optimization Algorithm for Flexible Process Planning EP - 68 IS - 2 SP - 65 VL - 18 UR - https://hdl.handle.net/21.15107/rcub_machinery_4419 ER -
@article{ author = "Petrović, Milica and Petronijević, Jelena and Mitić, Marko and Vuković, Najdan and Plemić, Aleksandar and Miljković, Zoran and Babić, Bojan", year = "2015", abstract = "Obtaining an optimal process plan according to all alternative manufacturing resources has become very important task in flexible process planning problem research. In this paper, we use a novel nature-inspired algorithm called Ant Lion Optimizer (ALO) to solve this NP-hard combinatorial optimization problem. The network representation is adopted to describe flexibilities in process planning and mathematical model for the minimization of the total production time and cost is presented. The algorithm is implemented in Matlab environment and run on the 3.10 GHz processor with 2 GBs of RAM memory. The presented experimental results show that the proposed algorithm performs better in comparison with other bio-inspired optimization algorithms.", publisher = "University of Novi Sad - Faculty of Technical Sciences", journal = "Journal of Production Engineering", title = "The Ant Lion Optimization Algorithm for Flexible Process Planning", pages = "68-65", number = "2", volume = "18", url = "https://hdl.handle.net/21.15107/rcub_machinery_4419" }
Petrović, M., Petronijević, J., Mitić, M., Vuković, N., Plemić, A., Miljković, Z.,& Babić, B.. (2015). The Ant Lion Optimization Algorithm for Flexible Process Planning. in Journal of Production Engineering University of Novi Sad - Faculty of Technical Sciences., 18(2), 65-68. https://hdl.handle.net/21.15107/rcub_machinery_4419
Petrović M, Petronijević J, Mitić M, Vuković N, Plemić A, Miljković Z, Babić B. The Ant Lion Optimization Algorithm for Flexible Process Planning. in Journal of Production Engineering. 2015;18(2):65-68. https://hdl.handle.net/21.15107/rcub_machinery_4419 .
Petrović, Milica, Petronijević, Jelena, Mitić, Marko, Vuković, Najdan, Plemić, Aleksandar, Miljković, Zoran, Babić, Bojan, "The Ant Lion Optimization Algorithm for Flexible Process Planning" in Journal of Production Engineering, 18, no. 2 (2015):65-68, https://hdl.handle.net/21.15107/rcub_machinery_4419 .