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• W3023612891 abstract "In this chapter, we discuss design optimization—one of the mainstream methods in support of engineering design. In design optimization, we minimize (or maximize) an objective function that is subject to performance constraints by varying a set of design variables, such as part dimensions, material properties, and so on. Usually, we deal with one objective function, carrying out the so-called single-objective optimization problem, which is the subject we discuss in this chapter. Sometimes, more than one objective function needs to be minimized simultaneously. Such problems are called multiobjective (or multicriteria) optimization problems, which will be discussed in Chapter 19. The objective function and performance constraints are usually extracted from or defined for a physical problem of a single engineering discipline. For example, if we are designing a structure in which we minimize the structural weight and subject to constraints characterizing structural performance, we are solving a structural optimization problem that is single disciplinary. In many situations, especially in the context of e-Design, we are dealing with designing a product or a system that involves multiple engineering disciplines, including structural, kinematic and dynamic, manufacturing, product cost, and so forth. Such design problems are called multidisciplinary optimization, which will be briefly discussed in Projects P5 and S5 using a single-piston engine example." @default.
• W3023612891 created "2020-05-13" @default.
• W3023612891 creator A5018250672 @default.
• W3023612891 date "2015-01-01" @default.
• W3023612891 modified "2023-10-14" @default.
• W3023612891 title "Design Optimization" @default.
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• W3023612891 doi "https://doi.org/10.1016/b978-0-12-382038-9.00017-x" @default.
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