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Evolutionary constrained optimization / edited by Rituparna Datta, Kalyanmoy Deb.

Colaborador(es): Tipo de material: TextoTextoSeries Infosys Science Foundation SeriesEditor: New Delhi : Springer India : Springer, 2015Descripción: xvi, 319 páginas : 111 ilustraciones, 39 ilustraciones en colorTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9788132221845
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • Q342
Recursos en línea:
Contenidos:
A Critical Review of Adaptive Penalty Techniques in Evolutionary Computation -- Ruggedness Quantifying for Constrained Continuous Fitness Landscapes -- Trust Regions in Surrogate-Assisted Evolutionary Programming for Constrained Expensive Black-Box Optimization -- Ephemeral Resource Constraints in Optimization -- Incremental Approximation Models for Constrained Evolutionary Optimization -- Efficient Constrained Optimization by the ? Constrained Differential Evolution with Rough Approximation -- Analyzing the Behaviour of Multi-Recombinative Evolution Strategies Applied to a Conically Constrained Problem -- Locating Potentially Disjoint Feasible Regions of a Search Space with a Particle Swarm Optimizer -- Ensemble of Constraint Handling Techniques for Single Objective Constrained Optimization -- Evolutionary Constrained Optimization: A Hybrid Approach.
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Springer eBooks

A Critical Review of Adaptive Penalty Techniques in Evolutionary Computation -- Ruggedness Quantifying for Constrained Continuous Fitness Landscapes -- Trust Regions in Surrogate-Assisted Evolutionary Programming for Constrained Expensive Black-Box Optimization -- Ephemeral Resource Constraints in Optimization -- Incremental Approximation Models for Constrained Evolutionary Optimization -- Efficient Constrained Optimization by the ? Constrained Differential Evolution with Rough Approximation -- Analyzing the Behaviour of Multi-Recombinative Evolution Strategies Applied to a Conically Constrained Problem -- Locating Potentially Disjoint Feasible Regions of a Search Space with a Particle Swarm Optimizer -- Ensemble of Constraint Handling Techniques for Single Objective Constrained Optimization -- Evolutionary Constrained Optimization: A Hybrid Approach.

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