1 edition of Multiobjective and stochastic optimization based on parametric optimization found in the catalog.
Multiobjective and stochastic optimization based on parametric optimization
Bibliography: p. 160-175.
|Statement||by Jürgen Guddat ... [et al.].|
|Series||Mathematical research,, Mathematische Forschung ;, Bd. 26, Mathematical research ;, Bd. 26.|
|LC Classifications||QA402.5 .M86 1985|
|The Physical Object|
|Pagination||175 p. :|
|Number of Pages||175|
|LC Control Number||86203894|
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The complexity of reality can be better represented by models able to involve uncertainty and time patterns. We present a general formulation of a stochastic dynamic multiobjective optimization.
Request PDF | Multiobjective design optimization by an evolutionary algorithm | This paper presents an evolutionary algorithm for generic multiobjective. A variational approach to define robustness for parametric multiobjective optimization problems Article in Journal of Global Optimization 57(2) October with 33.
The advantages of the procedure include the ability to harness the methodology of evolutionary multiobjective optimization for bilevel optimization and to.
Brosowski, B., and C onci, A.:On Vector Optimization and Parametric Programming, in: Proc. of the Conf. Segundas Jornadas Latino Americas de Matematica Aplicada, Rio Cited by: 2. A confidence-based dominance operator in evolutionary algorithms for noisy multiobjective optimization problems.
In: Proc. IEEE Int’l Conference on Cited by: 6. Optimization algorithm example.