The vector optimization and modeling of a technical systems

Author:

Matusov Leonid B.

Abstract

The construction a feasible solution set with a given accuracy is a main problem in multicriteria optimization and modeling. In order to construct the feasible solution set, a method called the Parameter Space Investigation has been created and successfully integrated into various fields of industry, science, and technology. Multicriteria modeling (identification) is a new direction that is of great value in applications. In the most common usage, the term “identification” means construction of the mathematical model of a system and determination of the parameters (design variables) of the model. The construction a feasible solution set with a given accuracy is a common way for solving multicriteria optimization and modeling problems. The issues of the estimation of the Parameter Space Investigation method convergence rate, the approximation of the feasible solution set are described. Besides these, the multicriteria identification problems of mechanical systems are discussed too.

Publisher

EDP Sciences

Subject

General Medicine

Reference7 articles.

1. Sobol’ I.M., Statnikov R.B., The Best Solutions: Where They May Be Found, Moscow, (1982.)

2. Sobol’ I., Statnikov R., Selecting Optimal Parameters in Multicriteria Problems, Moscow, 2006.

3. Statnikov R.B., Matusov J.B., Multicriteria Machine Design, Moscow, 1989.

4. Statnikov R.B., Matusov J.B., Multicriteria Optimization and Engineering, New York,(1995).

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