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Constrained optimization via multiobjective evolutionary algorithms
- Deb (Eds.), Multiobjective Problems Solving from Nature: From Concepts to Applications, Springer-Verlag, Natural Computing Series, 2008, ISBN: 978-3-540-72963-1
"... Summary. In this chapter, we present a survey of constraint-handling techniques based on evolutionary multiobjective optimization concepts. We present some basic definitions required to make this chapter self-contained, and then we introduce the way in which a global (single-objective) nonlinear opt ..."
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Summary. In this chapter, we present a survey of constraint-handling techniques based on evolutionary multiobjective optimization concepts. We present some basic definitions required to make this chapter self-contained, and then we introduce the way in which a global (single-objective) nonlinear optimization problem is transformed into an unconstrained multiobjective optimization problem. A taxonomy of methods is also proposed and each of them is briefly described. Some interesting findings regarding common features of the approaches analyzed are also discussed. 1
A Survey of Constraint-Handling Techniques Based on Evolutionary Multiobjective Optimization
"... Abstract. In this paper, we present several constraint-handling techniques based on evolutionary multiobjective optimization concepts. Some basic definitions are presented as well as the way in which a global nonlinear optimization problem is transformed into an unconstrained multiobjective optimiza ..."
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Abstract. In this paper, we present several constraint-handling techniques based on evolutionary multiobjective optimization concepts. Some basic definitions are presented as well as the way in which a global nonlinear optimization problem is transformed into an unconstrained multiobjective optimization problem. A taxonomy of methods is proposed and each one is described. Some interesting findings regarding common features of such approaches are also discussed. 1
