This book explores modern statistical methods for planning industrial experiments aimed at static optimization. It provides an in-depth examination of Box's evolutionary planning method, the sequential simplex method, and both rotational and random evolutionary planning techniques. The text includes examples with numerical calculations and a selected bibliography. Targeted towards engineers and technical specialists in metallurgical and chemical plants, as well as related industries, this work will also appeal to a broader audience within industry research institutes involved in the implementation of new developments in production. Additionally, it serves as a valuable resource for graduate students and university scholars. Illustrated with 28 figures and 34 tables, the book features a bibliography of 214 titles.