Evolutionary Algorithms and Neural Networks

Released on by Seyedali Mirjalili
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  • Evolutionary Algorithms and Neural Networks Book Detail

  • Author : Seyedali Mirjalili
  • Release Date : 2018-06-26
  • Publisher : Springer
  • Genre : Technology & Engineering
  • Pages : 164
  • ISBN 13 : 3319930257
  • File Size : 43,43 MB
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Evolutionary Algorithms and Neural Networks by Seyedali Mirjalili PDF Summary

Book Description: 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 and biogeography-based optimization. It then proposes evolutionary version of several types of neural networks such as feed forward neural networks, radial basis function networks, as well as recurrent neural networks and multi-later perceptron. Most of the challenges that have to be addressed when training artificial neural networks using evolutionary algorithms are discussed in detail. The book also demonstrates the application of the proposed algorithms for several purposes such as classification, clustering, approximation, and prediction problems. It provides a tutorial on how to design, adapt, and evaluate artificial neural networks as well, and includes source codes for most of the proposed techniques as supplementary materials.

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Introduction to Evolutionary Algorithms

Introduction to Evolutionary Algorithms

File Size : 3,3 MB
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Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering,