Piselli, E. Akroh, A. Blaum, K. Door, M. Leimbach, D. Rothe, S. JACoW Publishing Geneva, Switzerland 2226-0358 978-3-95450-209-7 10.18429/JACoW-ICALEPCS2019-WEPHA124 English 1379-1384 WEPHA124 experiment ISOL controls simulation operation Contribution to a conference proceedings 2020 2020-08 https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA124 https://jacow.org/icalepcs2019/papers/wepha124.pdf In experimental physics, computer algorithms are used to make decisions to perform measurements and different types of operations. To create a useful algorithm, the optimization parameters should be based on real time data. However, parameter optimization is a time consuming task, due to the large search space. In order to cut down the runtime of optimization we propose an algorithm inspired by the numerical method Nelder-Mead. This paper presents details of our method and selected experimental results from high-energy (CERN accelerators) to low-energy (Penning-trap systems) experiments as to demonstrate its efficiency. We also show simulations performed on standard test functions for optimization.