Cellular Genetic Algorithms [electronic resource] by Enrique Alba, Bernabe Dorronsoro.

CELLULAR GENETIC ALGORITHMS defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validity of these cellular genetic algorithms throughout the book. This class of genetic algorithms is show...

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Bibliographic Details
Uniform Title:Operations Research/Computer Science Interfaces Series ; 42
Main Authors: Alba, Enrique (Author)
Dorronsoro, Bernabe (Author)
Corporate Author: SpringerLink (Online service)
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Operations Research/Computer Science Interfaces Series ; 42
Subjects:
Numerical analysis.
Operations research.
Population genetics.
Algorithms.
Production management.
Mathematical optimization.
Online Access:
Springer English/International eBooks 2008 - Full Set: 2008 (Springer Link)
Format: Electronic eBook
Contents:
  • I Introduction
  • to Cellular Genetic Algorithms
  • The State of the Art in Cellular Evolutionary Algorithms
  • II Characterizing Cellular Genetic Algorithms
  • On the Effects of Structuring the Population
  • Some Theory: A Selection Pressure Study on cGAs
  • III Algorithmic Models and Extensions
  • Algorithmic and Experimental Design
  • Design of Self-adaptive cGAs
  • Design of Cellular Memetic Algorithms
  • Design of Parallel Cellular Genetic Algorithms
  • Designing Cellular Genetic Algorithms for Multi-objective Optimization
  • Other Cellular Models
  • Software for cGAs: The JCell Framework
  • IV Applications of cGAs
  • Continuous Optimization
  • Logistics: The Vehicle Routing Problem
  • Telecommunications: Optimization of the Broadcasting Process in MANETs
  • Bioinformatics: The DNA Fragment Assembly Problem.