Multicriteria Engineering Optimization Problems: Statement, Solution and Applications

被引:0
|
作者
Roman Statnikov
Josef Matusov
Alexander Statnikov
机构
[1] Naval Postgraduate School,Department of Information Sciences
[2] Russian Academy of Sciences,Mechanical Engineering Research Institute
[3] New York University Langone Medical Center,Center for Health Informatics and Bioinformatics
关键词
Feasible solution set; Visualization tools; PSI method; MOVI software; Uniformly distributed sequences;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:355 / 375
页数:20
相关论文
共 50 条
  • [1] Multicriteria Engineering Optimization Problems: Statement, Solution and Applications
    Statnikov, Roman
    Matusov, Josef
    Statnikov, Alexander
    [J]. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 2012, 155 (02) : 355 - 375
  • [2] Multicriteria analysis of real-life engineering optimization problems: statement and solution
    Statnikov, R. B.
    Bordetsky, A.
    Statnikov, A.
    [J]. NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS, 2005, 63 (5-7) : E685 - E696
  • [3] Applications of Fuzzy Multicriteria Decision Making to Complex Engineering Problems
    Zheng, Hanbo
    Zhang, Yiyi
    Zhao, Junhui
    Liu, Jiefeng
    Zeng, Qi
    [J]. ADVANCES IN FUZZY SYSTEMS, 2018, 2018
  • [4] ON SOME APPLICATIONS OF MULTICRITERIA DECISION-MAKING ON ENGINEERING PROBLEMS
    ESTER, J
    [J]. OR SPEKTRUM, 1987, 9 (02) : 59 - 80
  • [5] Changes of the solution set by adding objectives to multicriteria optimization problems
    Malinowska, A. B.
    [J]. COMPUTATIONAL INTELLIGENCE IN DECISION AND CONTROL, 2008, 1 : 635 - 640
  • [6] A multicriteria genetic algorithm to solve optimization problems in structural engineering design
    Kundu, S
    [J]. INFORMATION PROCESSING IN CIVIL AND STRUCTURAL ENGINEERING DESIGN, 1996, : 225 - 233
  • [7] Combinatorial Optimization Problems in Engineering Applications
    Mittelmann, Hans D.
    [J]. NUMERICAL ANALYSIS AND OPTIMIZATION, 2018, 235 : 193 - 208
  • [8] Multicriteria Analysis and LCA Techniques: With Applications to Agro-Engineering Problems
    Recchia L.
    Boncinelli P.
    Cini E.
    Vieri M.
    Pegna F.G.
    Sarri D.
    [J]. Green Energy and Technology, 2011, 91
  • [9] A Sort & Search method for multicriteria optimization problems with applications to scheduling theory
    Shang, Lei
    T'Kindt, Vincent
    [J]. JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS, 2019, 26 (1-2) : 84 - 90
  • [10] Mesh optimization strategies for solution of engineering problems
    Vasiliauskiene, Lina
    Bausys, Romualdas
    [J]. MECHATRONIC SYSTEMS AND MATERIALS, 2006, 113 : 157 - 162