Acar, OsmanKalyoncu, MeteHassan, Ala2020-03-262020-03-2620192211-0984https://dx.doi.org/10.1007/978-3-030-20131-9_280https://hdl.handle.net/20.500.12395/38469In this paper, a new optimization algorithm is proposed, which is called Harmonic Bees Algorithm (HBA). The procedure of HBA is proposed and applied to gripper mechanism optimization case study. The gripper design is optimized using HBA and the results are compared to both the Bees Algorithm (BA) and the Non-Dominated Sorting Genetic Algorithm version II (NSGA-II). The superiority of HBA is illustrated and analyzed based on the 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 HBA are clearly evaluated and discussed. The HBA provides the most crowded Pareto Front population for solution in the shortest duration. Therefore, the best solutions are selected based on the closest solutions to the fitted curve. © 2019, Springer Nature Switzerland AG.en10.1007/978-3-030-20131-9_280info:eu-repo/semantics/closedAccessHarmonic AlgorithmNSGA IIThe bees AlgorithmBook Chapter7328292839Q4