Real-world simulation-based manufacturing optimization using Cuckoo search
Anna Syberfeldt,Simon Lidberg +1 more
- 09 Dec 2012
- pp 256
TL;DR: A case study of real-world simulation-based optimization of an engine manufacturing line shows that the combinatorial nature of the optimization problem causes difficulties for the Cuckoo Search algorithm, and a further analysis indicates that the algorithm might be best suited for continuous optimization problems.
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Abstract: This paper describes a case study of real-world simulation-based optimization of an engine manufacturing line. The optimization aims to maximize utilization of machines and at the same time minimize tied-up capital by manipulating 56 unique decision variables. A recently proposed metaheuristic algorithm that has achieved successful results in various problem domains called Cuckoo Search is used to perform the simulation-based optimization. To handle multiple objectives, an extension of the original Cuckoo Search algorithm based on the concept of Pareto optimality is proposed and used in the study. The performance of the algorithm is analyzed in comparison with the benchmark algorithm NSGA-II. Results show that the combinatorial nature of the optimization problem causes difficulties for the Cuckoo Search algorithm, and a further analysis indicates that the algorithm might be best suited for continuous optimization problems.
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References
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Kalyanmoy Deb,Deb Kalyanmoy +1 more
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Gary B. Lamont,David A. Van Veldhuizen +1 more
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Cuckoo Search via Lévy flights
Xin-She Yang,Suash Deb +1 more
- 01 Dec 2009
TL;DR: A new meta-heuristic algorithm, called Cuckoo Search (CS), is formulated, based on the obligate brood parasitic behaviour of some cuckoo species in combination with the Lévy flight behaviour ofSome birds and fruit flies, for solving optimization problems.
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