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Constraint-Handling in Evolutionary Optimization
An efficient and adequate constraint-handling technique is a key element in the design of competitive evolutionary algorithms to solve complex optimization problems. This edited book presents a collection of recent advances in nature-inspired techniques for constrained numerical optimization. The bo...
| Clasificación: | Libro Electrónico |
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| Autor Corporativo: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edición: | 1st ed. 2009. |
| Colección: | Studies in Computational Intelligence,
198 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Continuous Constrained Optimization with Dynamic Tolerance Using the COPSO Algorithm
- Boundary Search for Constrained Numerical Optimization Problems
- Solving Difficult Constrained Optimization Problems by the ? Constrained Differential Evolution with Gradient-Based Mutation
- Constrained Real-Parameter Optimization with ? -Self-Adaptive Differential Evolution
- Self-adaptive and Deterministic Parameter Control in Differential Evolution for Constrained Optimization
- An Adaptive Penalty Function for Handling Constraint in Multi-objective Evolutionary Optimization
- Infeasibility Driven Evolutionary Algorithm for Constrained Optimization
- On GA-AIS Hybrids for Constrained Optimization Problems in Engineering
- Constrained Optimization Based on Quadratic Approximations in Genetic Algorithms
- Constraint-Handling in Evolutionary Aerodynamic Design
- Handling Constraints in Global Optimization Using Artificial Immune Systems: A Survey.