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Mechanical engineering problem optimization by SOMA

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 141))

Abstract

To discover the effectiveness of the techniques just proposed in Chapter 7, three numerical examples were optimized using SOMA (Table 26.1). These non-linear, engineering design optimization problems with discrete, integer and continuous variables were first investigated by Eric Sandgren [1] and subsequently by many other researchers [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] and [12] who applied a variety of optimization techniques (Table 26.2). These problems represent optimization situations involving discrete, integer and continuous variables that are similar to those encountered in everyday mechanical engineering design tasks. Because the problems are clearly defined and relatively easy to understand, they form a suitable basis for comparing alternative optimization methods

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References

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© 2004 Springer-Verlag Berlin Heidelberg

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Zelinka, I., Lampinen, J. (2004). Mechanical engineering problem optimization by SOMA. In: New Optimization Techniques in Engineering. Studies in Fuzziness and Soft Computing, vol 141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39930-8_26

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  • DOI: https://doi.org/10.1007/978-3-540-39930-8_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05767-0

  • Online ISBN: 978-3-540-39930-8

  • eBook Packages: Springer Book Archive

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