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Increasing the Production Productivity with Artificial Bee Colony Optimisation Method

机译:提高人工蜂殖民地优化方法的生产生产力

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In this paper, the tool path length minimisation or reduction of tool path total time was considered. The main goal is optimisation of tool path length on the selected technological task, where is need to drill a large number of holes and Artificial Bee Colony (ABC) optimisation method was used. The results, (achieved by criteria of minimum tool path) leads to saving of the technological time and reducing the total costs of production. Proposed algorithm gives the sustainable results, and it is reliable for the use. The solution achieved by the ABC algorithm was implemented in the MATLAB program and for validation of its performance it was compared with Ant Colony Optimisation (ACO) algorithm, CAMConcept software and with the result achieved by manual programming. The drilling simulation was performed using the EMCO WinNC educational program for the Sinumerik 840D Mill control unit.
机译:在本文中,考虑了刀具路径长度最小化或减少工具路径总时间。主要目标是在所选择的技术任务上优化工具路径长度,需要钻出大量孔和人造群菌落(ABC)优化方法。结果(通过最小工具路径的标准实现)导致节省技术时间并降低生产总成本。提出的算法提供了可持续的结果,使用可靠。通过ABC算法实现的解决方案在MATLAB程序中实现,并验证其与蚁群优化(ACO)算法,Camconcept软件和通过手动编程实现的结果进行了验证。使用SINUMERIK 840D轧机控制单元的EMCO WINNC教育计划进行钻探模拟。

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