A multi-objective genetic algorithm for design optimisation of simple and double harmonic motion cams

R.K. Jana; Prasun Bhattacharjee

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A multi-objective genetic algorithm for design optimisation of simple and double harmonic motion cams

机译：简单和二次谐波运动凸轮设计优化的多目标遗传算法

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In this paper, a multi-objective genetic algorithm is developed to solve the design optimisation problem for cam-follower mechanism with simple and double harmonic profiles. Torque and jerk are two most important objectives decisive to be optimised for a successful cam follower system plan. The proposed approach offers a set of non-dominated solutions for design variables like angle of rotation, maximum lift of the follower and the angle for maximum lift for rational operation. The problem is also solved by MATLAB multi-objective genetic algorithm toolbox. The solutions obtained by the proposed approach are found to be beneficial over the MATLAB solutions.

机译：本文提出了一种多目标遗传算法来解决具有简单和二次谐波轮廓的凸轮从动机构的设计优化问题。扭矩和冲击力是决定凸轮从动件系统计划成功的两个最重要的目标。所提出的方法为设计变量（例如旋转角度，从动件的最大升力和合理操作的最大升力的角度）提供了一组非主导解决方案。 MATLAB多目标遗传算法工具箱也解决了该问题。发现通过提出的方法获得的解决方案优于MATLAB解决方案。

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来源
《International journal of design engineering》 |2017年第2期|77-91|共15页
作者
R.K. Jana; Prasun Bhattacharjee;
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作者单位

Indian Institute of Management Raipur, GEC Campus, Sejbahar, CG 492015, India;

Department of Mechanical Engineering, Jadavpur Univrsity, Kolkata, WB 700032, India;

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原文格式 PDF
正文语种 eng
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关键词
cam-follower; design optimisation; multi-objective optimisation; genetic algorithm; Pareto optimality;

机译：凸轮从动件;优化设计;多目标优化;遗传算法帕累托最优;

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A multi-objective genetic algorithm for design optimisation of simple and double harmonic motion cams

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