Journal of Optimization Theory and Applications

, Volume 155, Issue 2, pp 355–375 | Cite as

Multicriteria Engineering Optimization Problems: Statement, Solution and Applications

  • Roman Statnikov
  • Josef Matusov
  • Alexander Statnikov
Invited paper


The majority of engineering optimization problems (design, identification, design of controlled systems, optimization of large-scale systems, operational development of prototypes, and so on) are essentially multicriteria. The correct determination of the feasible solution set is a major challenge in engineering optimization problems. In order to construct the feasible solution set, a method called PSI (Parameter Space Investigation) has been created and successfully integrated into various fields of industry, science, and technology. Owing to the PSI method, it has become possible to formulate and solve a wide range of multicriteria optimization problems. In addition to giving an overview of the PSI method, this paper also describes the methods for approximation of the feasible and Pareto optimal solution sets, identification, decomposition, and aggregation of the large-scale systems.


Feasible solution set Visualization tools PSI method MOVI software Uniformly distributed sequences 



The authors would like to thank Dr. N.N. Bolotnik for his feedback and discussion of the results.


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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Roman Statnikov
    • 1
    • 2
  • Josef Matusov
    • 2
  • Alexander Statnikov
    • 3
  1. 1.Department of Information SciencesNaval Postgraduate SchoolMontereyUSA
  2. 2.Mechanical Engineering Research InstituteRussian Academy of SciencesMoscowRussia
  3. 3.Center for Health Informatics and BioinformaticsNew York University Langone Medical CenterNew YorkUSA

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