Includes bibliographical references (pages 224-231) and index
Introduction Optimization in Engineering Problems -- 1. Multicriteria Optimization and the Parameter Space Investigation Method -- 2. Approximation of Feasible Solutions and Pareto Optimal Sets -- 3. Decomposition and Aggregation of Large-Scale Systems -- 4. Multicriteria Identification of Mathematical Models and Problems of Operational Development -- 5. Determination of Significant Design Variables -- 6. Examples of Multicriteria Optimization of Machines and Other Complex Systems -- Addendum Uniformly Distributed Sequences and Nets in Multidimensional Parameter Space
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Applicable to a wide range of engineering problems in machines, structures and instrument design, this 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; and 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, and 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 mechanics, mechanical engineering, optimal control and operation research
This pioneering volume comprehensively and systematically describes the Parameter Space Investigation (FSI) method, a novel concept for choosing the optimal design variables in solving multicriteria problems. Emphasizing the construction of the feasible solution set, the authors demonstrate state-of-the-art multicriteria optimization and identification