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Mechanical engineering problem optimization by SOMA

  • Ivan Zelinka
  • Jouni Lampinen
Part of the Studies in Fuzziness and Soft Computing book series (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

Keywords

Pressure Vessel Type Item Gear Ratio Boundary Constraint Gear Train 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Ivan Zelinka
  • Jouni Lampinen

There are no affiliations available

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