TY  - 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 .