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- Title
Memetic Cuckoo-Search-Based Optimization in Machining Galvanized Iron.
- Authors
Kalita, Kanak; Ghadai, Ranjan Kumar; Cepova, Lenka; Shivakoti, Ishwer; Bhoi, Akash Kumar
- Abstract
In this article, an improved variant of the cuckoo search (CS) algorithm named Coevolutionary Host-Parasite (CHP) is used for maximizing the metal removal rate in a turning process. The spindle speed, feed rate and depth of cut are considered as the independent parameters that describe the metal removal rate during the turning operation. A data-driven second-order polynomial regression approach is used for this purpose. The training dataset is designed using an L16 orthogonal array. The CHP algorithm is effective in quickly locating the global optima. Furthermore, CHP is seen to be sufficiently robust in the sense that it is able to identify the optima on independent reruns. The CHP predicted optimal solution presents ±10% deviations in the optimal process parameters, which shows the robustness of the optimal solution.
- Subjects
GALVANIZED iron; INTEREST rates; ORTHOGONAL arrays; ALGORITHMS; CUCKOOS
- Publication
Materials (1996-1944), 2020, Vol 13, Issue 14, p3047
- ISSN
1996-1944
- Publication type
Article
- DOI
10.3390/ma13143047