Advances in Learning Automata and Intelligent Optimization

Released on by Javidan Kazemi Kordestani
preview-18

  • Advances in Learning Automata and Intelligent Optimization Book Detail

  • Author : Javidan Kazemi Kordestani
  • Release Date : 2021-06-23
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Pages : 340
  • ISBN 13 : 3030762912
  • File Size : 16,16 MB
DOWNLOAD BOOK

Advances in Learning Automata and Intelligent Optimization by Javidan Kazemi Kordestani PDF Summary

Book Description: This book is devoted to the leading research in applying learning automaton (LA) and heuristics for solving benchmark and real-world optimization problems. The ever-increasing application of the LA as a promising reinforcement learning technique in artificial intelligence makes it necessary to provide scholars, scientists, and engineers with a practical discussion on LA solutions for optimization. The book starts with a brief introduction to LA models for optimization. Afterward, the research areas related to LA and optimization are addressed as bibliometric network analysis. Then, LA's application in behavior control in evolutionary computation, and memetic models of object migration automata and cellular learning automata for solving NP hard problems are considered. Next, an overview of multi-population methods for DOPs, LA's application in dynamic optimization problems (DOPs), and the function evaluation management in evolutionary multi-population for DOPs are discussed. Highlighted benefits • Presents the latest advances in learning automata-based optimization approaches. • Addresses the memetic models of learning automata for solving NP-hard problems. • Discusses the application of learning automata for behavior control in evolutionary computation in detail. • Gives the fundamental principles and analyses of the different concepts associated with multi-population methods for dynamic optimization problems.

Disclaimer: www.yourbookbest.com does not own Advances in Learning Automata and Intelligent Optimization books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Multiple Approaches to Intelligent Systems

Multiple Approaches to Intelligent Systems

File Size : 62,62 MB
Total View : 934 Views
DOWNLOAD

We never create anything, We discover and reproduce. The Twelfth International Conference on Industrial and Engineering Applications of Artificial Intelligence