The Ant Lion Optimization Algorithm for Integrated Process Planning and Scheduling
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Petrović, MilicaPetronijević, Jelena
Mitić, Marko
Vuković, Najdan
Miljković, Zoran
Babić, Bojan
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Process planning and scheduling are two of the most important manufacturing functions which are usually performed sequentially in traditional approaches. Considering the fact that these functions are usually complementary, it is necessary to integrate them so as to improve performance of a manufacturing system. This paper presents implementation of novel nature-inspired Ant Lion Optimization (ALO) algorithm for solving this combinatorial optimization problem effectively. As the ALO algorithm mimics the intelligent behavior of antlions in hunting ants, the main steps of hunting prey, its mathematical modeling, and optimization procedure for integration of process planning and scheduling is proposed. The algorithm is implemented in Matlab environment and run on the 3.10 GHz processor with 2 GBs of RAM memory. Experimental results show applicability of the proposed approach in solving integrated process planning and scheduling problem.
Keywords:
Process planning and scheduling / Ant Lion Optimization (ALO) algorithm / Intelligent manufacturing systemSource:
Applied Mechanics and Materials, 2016, 834, 187-192-Funding / projects:
- An innovative ecologically based approach to implementation of intelligent manufacturing systems for production of sheet metal parts (RS-MESTD-Technological Development (TD or TR)-35004)
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Mašinski fakultetTY - JOUR AU - Petrović, Milica AU - Petronijević, Jelena AU - Mitić, Marko AU - Vuković, Najdan AU - Miljković, Zoran AU - Babić, Bojan PY - 2016 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3964 AB - Process planning and scheduling are two of the most important manufacturing functions which are usually performed sequentially in traditional approaches. Considering the fact that these functions are usually complementary, it is necessary to integrate them so as to improve performance of a manufacturing system. This paper presents implementation of novel nature-inspired Ant Lion Optimization (ALO) algorithm for solving this combinatorial optimization problem effectively. As the ALO algorithm mimics the intelligent behavior of antlions in hunting ants, the main steps of hunting prey, its mathematical modeling, and optimization procedure for integration of process planning and scheduling is proposed. The algorithm is implemented in Matlab environment and run on the 3.10 GHz processor with 2 GBs of RAM memory. Experimental results show applicability of the proposed approach in solving integrated process planning and scheduling problem. T2 - Applied Mechanics and Materials T1 - The Ant Lion Optimization Algorithm for Integrated Process Planning and Scheduling SP - 187-192 VL - 834 DO - 10.4028/www.scientific.net/AMM.834.187 ER -
@article{ author = "Petrović, Milica and Petronijević, Jelena and Mitić, Marko and Vuković, Najdan and Miljković, Zoran and Babić, Bojan", year = "2016", abstract = "Process planning and scheduling are two of the most important manufacturing functions which are usually performed sequentially in traditional approaches. Considering the fact that these functions are usually complementary, it is necessary to integrate them so as to improve performance of a manufacturing system. This paper presents implementation of novel nature-inspired Ant Lion Optimization (ALO) algorithm for solving this combinatorial optimization problem effectively. As the ALO algorithm mimics the intelligent behavior of antlions in hunting ants, the main steps of hunting prey, its mathematical modeling, and optimization procedure for integration of process planning and scheduling is proposed. The algorithm is implemented in Matlab environment and run on the 3.10 GHz processor with 2 GBs of RAM memory. Experimental results show applicability of the proposed approach in solving integrated process planning and scheduling problem.", journal = "Applied Mechanics and Materials", title = "The Ant Lion Optimization Algorithm for Integrated Process Planning and Scheduling", pages = "187-192", volume = "834", doi = "10.4028/www.scientific.net/AMM.834.187" }
Petrović, M., Petronijević, J., Mitić, M., Vuković, N., Miljković, Z.,& Babić, B.. (2016). The Ant Lion Optimization Algorithm for Integrated Process Planning and Scheduling. in Applied Mechanics and Materials, 834, 187-192. https://doi.org/10.4028/www.scientific.net/AMM.834.187
Petrović M, Petronijević J, Mitić M, Vuković N, Miljković Z, Babić B. The Ant Lion Optimization Algorithm for Integrated Process Planning and Scheduling. in Applied Mechanics and Materials. 2016;834:187-192. doi:10.4028/www.scientific.net/AMM.834.187 .
Petrović, Milica, Petronijević, Jelena, Mitić, Marko, Vuković, Najdan, Miljković, Zoran, Babić, Bojan, "The Ant Lion Optimization Algorithm for Integrated Process Planning and Scheduling" in Applied Mechanics and Materials, 834 (2016):187-192, https://doi.org/10.4028/www.scientific.net/AMM.834.187 . .