Approach to Optimization of Cutting Condition Using of Imperialist Competitive Algorithm
Publish place: International Journal of Mechatronics, Electrical and Computer Technology، Vol: 2، Issue: 5
Publish Year: 1391
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJMEC-2-5_003
تاریخ نمایه سازی: 16 فروردین 1395
Abstract:
Optimization of machining parameters is a non-linear optimization with constrains and it is difficult for the conventional optimization algorithms to solve this problem. The purpose of this study is to demonstrate the potential of Imperialist Competitive Algorithm (ICA) for optimization of turning process. This algorithm is inspired by competition mechanism among Imperialists and colonies, in contrast to evolutionary algorithms. To validate the proposed approach, the results of ICA were finally compared with Genetic Algorithm (GA). Based on the results; ICA has demonstrated excellent capabilities such as simplicity, accuracy, faster convergence and better global optimum achievement. The outcome shows the success of ICA in optimizing the machining conditions
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Authors
Hossein Towsyfyan
Department of Manufacturing Engineering, Arvandan Nonprofit Higher Education Institute, Khorramshahr, Iran
Seyed Adnan Adnani Salehi
Department of Manufacturing Engineering, Arvandan Nonprofit Higher Education Institute, Khorramshahr, Iran
Majed Ghayyem
Department of Manufacturing Engineering, Arvandan Nonprofit Higher Education Institute, Khorramshahr, Iran
Farid Mosaedi
Department of Manufacturing Engineering, Arvandan Nonprofit Higher Education Institute, Khorramshahr, Iran