Evolutionary Algorithms and Neural Networks Theory and Applications /

This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At first, the book offers a literature review of several well-regarded evolutionary algorithms, including particle swarm and ant colony optimization, genetic algorithms...

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Bibliographic Details
Main Author: Mirjalili, Seyedali (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Studies in Computational Intelligence, 780
Subjects:
Computational intelligence.
Artificial intelligence.
Neural networks (Computer science) .
Computer simulation.
Computational Intelligence.
Artificial Intelligence.
Mathematical Models of Cognitive Processes and Neural Networks.
Computer Modelling.
Online Access:Full-text access
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Table of Contents:
  • Part I: Evolutionary algorithms
  • Introduction to Evolutionary Single-objective Optimisation
  • Particle Swarm Optimisation
  • Ant Colony Optimization
  • Genetic Algorithm
  • Biogeography-Based Optimization
  • Part II: Evolutionary Neural Networks
  • Evolutionary Feedforward Neural Networks
  • Evolutionary Multi-Layer Perceptron
  • Evolutionary Radial Basis Function Networks
  • Evolutionary Deep Neural Networks.

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