THE BEES’ ALGORITHM FOR DESIGN OPTIMIZATION OF A GRIPPER MECHANISM

Osman ACAR, Mete KALYONCU, Alaa HASSAN

Abstract


In this paper, a gripper mechanism is optimized by using bees’ algorithm (BA) to compare with Non-dominated Sorting Genetic Algorithm version II (NSGA-II). The procedure of BA is proposed. The superiority of BA is illustrated by using results in figures and tables. A sensitivity analysis using correlation test is executed. The effectiveness coefficients of design variable for the objectives are provided. Consequently, the effectual design variables and the genuine searching method of BA are clearly evaluated and discussed. The BA provides dispersed and the least crowded Pareto Front population for solution in the shortest duration. Therefore, the best solutions are selected based on curve fitting. The closest solutions to the fitted curve are selected as the best in the region.

Keywords


Heuristic Optimization, The bees’ Algorithm, Gripper Mechanism, NSGA II.

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References


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Selcuk University Journal of Engineering Sciences (SUJES) ISSN:2757-8828

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