Parameters Optimization of Taguchi Method Integrated Hybrid Harmony Search Algorithm for Engineering Design Problems

Performance of convergence to the optimum value is not completely a known process due characteristics considered design problem and floating values optimization algorithm control parameters. However, increasing robustness effectiveness an may be possible statistically by estimating proper parameters values. Not only which utilizes these estimated-proper parameter enable find best fitness in shorter time, but also it supply searching with pragmatical manner. This study focuses on statistical investigation for harmony search their effects solution. For this purpose, Taguchi method integrated hybrid has been presented as alternative analyses instead sensitivity are generally used The memory size, considering rate, pitch adjustment maximum iteration number, independent run number entire iterations have debated algorithm. To observe parameters, new applied different engineering problems including several engineering-optimization examples real-size design. End extensive achieve providing rapid handling constraints estimated reasonable relative errors. Employing demonstrated reliable efficient manner obtain results fewer numbers iteration.