Multicriteria Optimization and Engineering / Edition 1

by R.B. Statnikov, J.B. Matusov

Overview

method enables readers to: *efficiently design higher-quality, lower cost objects with less metal requirements, vibration and noise, and with lower dynamic loads and energy consumption *determine optimal solutions, regardless of the number of criteria involved, and to identify relationships among different criteria and between criteria and design variables *accurately account for discrepancies between theoretical and actual characteristics, using a special set of adequacy criteria *determine optimal design variables for complex finite element models In addition, the book helps readers: *enhance the potential of the PSI method with theoretical investigations and algorithms for approximating the feasible solutions set and Pareto optimal set *facilitate proficient problem-solving by incorporating recently obtained results from the theory of uniformly distributed sequences *evaluate design procedures by observing examples ranging from machine tools and agricultural equipment to automobiles and aviation This practical, in-depth treatment of multicriteria optimization and engineering is essential for engineers and designers working in research and development of manufacturing machines, mechanisms and structures. It is also an important text for students of applied mathematics, mechanical engineering, optimal control and operations research.

Product Details

ISBN-13:	9780412992315
Publisher:	Springer US
Publication date:	03/31/1995
Edition description:	1995
Pages:	236
Product dimensions:	5.98(w) x 9.02(h) x 0.03(d)
Age Range:	18 Years

Table of Contents

1 Multicriteria Optimization and the Parameter Space Investigation Method.- 1—1. Engineering Optimization Problems: Their Features 1 and Formulation.- 1—2. Systematic Search in Multidimensional Domains by Using Uniformly Distributed Sequences.- 1—3. Parameter Space Investigation (PSI) Method.- 1—4. Example 1: The Choice of the Optimal Design Variables of an Oscillator.- 1—5. Example 2: Automotive Valve Gear Design.- 1—6. Specific Features of the Optimization Problems Formulation Using Finite Element Models.- 2 Approximation of Feasible Solutions and Pareto Optimal Sets.- 2—1. Approximation of a Feasible Solutions Set.- 2—2. The Pareto Optimal Set Approximation.- 2—3. Example of Approximation of a Feasible Solutions Set.- 3 Decomposition and Aggregation of Large-Scale Systems.- 3—1. Decomposition Methods.- 3—2. Construction of Hierarchically Consistent Solutions.- 3—3. Example: The Construction of Consistent Solutions to the Problem of Calculation of a Car for Shock Protection.- 4 Multicriteria Identification of Mathematical Models and Problems of Operational Development.- 4—1. Problems of Multicriteria Identification and Their Features.- 4—2. Parameter Space Investigation Method in Problems of Multicriteria Identification.- 4—3. Example 1: Multicriteria Identification of the Parameters of a Slotter.- 4—4. Operational Development of Prototypes.- 4—5. Example 2: Operational Development of a Vehicle.- 5 Determination of Significant Design Variables.- 5—1. Evaluating Performance Criteria Sensitivity Through Regression Analysis Technique.- 5—2. The Energy Balance Principle for Determining the Dependence of Criteria on Design Variables.- 5—3. Example: Determination of Sensitivity of the Cylindrical Grinding Machine Structure Criteria.-5—4. Weakly Coupled Oscillatory Systems.- 6 Examples of Multicriteria Optimization of Machines and Other Complex Systems.- 6—1. Vibration Machines Optimization.- 6—2. Truck Frame Design.- 6—3. Optimization of Metal-Cutting Machine Tools.- 6—4. Some Other Problems.- Conclusion.- Addendum Uniformly Distributed Sequences and Nets in Multidimensional Parameter Space.- A—4. Nets with Improved Uniformity Characteristics.- References.

Editorial Reviews

Het is een interessant boek met goede voorbeelden dat echter vrij kwantitatief if uitgewerkt op sommige plaatsen - Het Ingenieursblad

From the Publisher

Mechanical engineers from the Russian Academy of Sciences introduce the Parameter Space Investigation method for choosing the optimal design variables to solve multicriteria engineering problems. Among the criteria they balance are metal requirements, vibration and noise, dynamic loads, and energy consumption. Emphasizing the construction of the feasible solution set, they demonstrate the method in the design of machines, structures, and instruments; the focus is on manufacturing machinery but the method could also be applied in such fields as agricultural equipment, automobiles, and aviation. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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