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Evolutionary Constrained Optimization
This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; mu...
| Clasificación: | Libro Electrónico |
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| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New Delhi :
Springer India : Imprint: Springer,
2015.
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| Edición: | 1st ed. 2015. |
| Colección: | Infosys Science Foundation Series in Applied Sciences and Engineering,
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| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de 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 ε 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.