Cargando…

Success in Evolutionary Computation

Darwinian evolutionary theory is one of the most important theories in human history for it has equipped us with a valuable tool to understand the amazing world around us. There can be little surprise, therefore, that Evolutionary Computation (EC), inspired by natural evolution, has been so successf...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Yang, Ang (Editor ), Shan, Yin (Editor ), Bui, Lam Thu (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Studies in Computational Intelligence, 92
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Theory
  • Adaptation of a Success Story in GAs: Estimation-of-Distribution Algorithms for Tree-based Optimization Problems
  • The Automated Design of Artificial Neural Networks Using Evolutionary Computation
  • A Versatile Surrogate-Assisted Memetic Algorithm for Optimization of Computationally Expensive Functions and its Engineering Applications
  • Data Mining and Intelligent Multi-Agent Technologies in Medical Informatics
  • Applications
  • Evolving Trading Rules
  • A Hybrid Genetic Algorithm for the Protein Folding Problem Using the 2D-HP Lattice Model
  • Optimal Management of Agricultural Systems
  • Evolutionary Electronics: Automatic Synthesis of Analog Circuits by GAs
  • Intuitive Visualization and Interactive Analysis of Pareto Sets Applied on Production Engineering System
  • Privacy Protection with Genetic Algorithms
  • A Revision of Evolutionary Computation Techniques in Telecommunications and An Application for The Network Global Planning Problem
  • Survivable Network Design with an Evolution Strategy
  • Evolutionary Computations for Design Optimization and Test Automation in VLSI Circuits
  • Evolving Cooperative Agents in Economy Market Using Genetic Algorithms
  • Optimizing Multiplicative General Parameter Finite Impulse Response Filters Using Evolutionary Computation
  • Applying Genetic Algorithms to Optimize the Cost of Multiple Sourcing Supply Chain Systems - An Industry Case Study.