The Premise is quite simple: To find the optimal solution to a problem, you need to identify the criteria that limit feasible solutions. But for engineers working on large scale technology projects, implementing this premise can be a major challenge in itself. The Parameter Space Investigation Method Toolkit helps engineers meet the challenge. The method helps engineers with a wide range of multicriteria optimization problems, such as design, identification, design of control systems, and operational development of prototypes. This unique resource shows how to use PSI to construct a feasible solution set without limitations on the number of parameters and criteria. This book presents visualization tools that are used to construct the feasible solution set, conduct multicriteria analysis, and correct the initial problem statement. Readers explore topics that have not been covered in any other books, including multicriteria analysis from observational data, multicriteria optimization of large-scale systems in parallel mode, adopting the PSI method for database searches, and interpretation of the prototype improvement problem. New MOVI problem-analysis software is included.

About the Author:

Roman Statnikov is a senior researcher and instructor in the Information Sciences Department at the Naval Postgraduate School in Monterey, CA and is also a professor and principal research scientist in the Optimal Design Theory and Methods Laboratory at the Mechanical Engineering Research Institute, Russian Academy of Sciences. He holds a Dr. Tech. Sci. degree in the theory of machines and mechanisms from the Mechanical Engineering Institute, Russian Academy of Sciences. He received a Ph.D. on the same subject from Moscow State University of Railways. Alexander Statnikov is an assistant professor of clinical pharmacology at the Center for Health Informatics and Bioinformatics, New York University Langone Medical Center. He holds a Ph.D. in Biomedical Informatics from Vanderbilt University, Nashville, Tennessee.

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