Handbook of Moth-Flame Optimization Algorithm

preview-18
  • Handbook of Moth-Flame Optimization Algorithm Book Detail

  • Author : Seyedali Mirjalili
  • Release Date : 2022-09-20
  • Publisher : CRC Press
  • Genre : Computers
  • Pages : 297
  • ISBN 13 : 1000655679
  • File Size : 46,46 MB

Handbook of Moth-Flame Optimization Algorithm by Seyedali Mirjalili PDF Summary

Book Description: Moth-Flame Optimization algorithm is an emerging meta-heuristic and has been widely used in both science and industry. Solving optimization problem using this algorithm requires addressing a number of challenges, including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters. Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides an in-depth analysis of this algorithm and the existing methods in the literature to cope with such challenges. Key Features: Reviews the literature of the Moth-Flame Optimization algorithm Provides an in-depth analysis of equations, mathematical models, and mechanisms of the Moth-Flame Optimization algorithm Proposes different variants of the Moth-Flame Optimization algorithm to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problems Demonstrates how to design, develop, and test different hybrids of Moth-Flame Optimization algorithm Introduces several applications areas of the Moth-Flame Optimization algorithm This handbook will interest researchers in evolutionary computation and meta-heuristics and those who are interested in applying Moth-Flame Optimization algorithm and swarm intelligence methods overall to different application areas.

Disclaimer: www.yourbookbest.com does not own Handbook of Moth-Flame Optimization Algorithm 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.

Nature-Inspired Algorithms

Nature-Inspired Algorithms

File Size : 9,9 MB
Total View : 6208 Views
DOWNLOAD

This comprehensive reference text discusses nature inspired algorithms and their applications. It presents the methodology to write new algorithms with the help

Evolutionary Machine Learning Techniques

Evolutionary Machine Learning Techniques

File Size : 52,52 MB
Total View : 2910 Views
DOWNLOAD

This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded methods for classification,

Evolutionary Optimization Algorithms

Evolutionary Optimization Algorithms

File Size : 18,18 MB
Total View : 8178 Views
DOWNLOAD

This comprehensive reference text discusses evolutionary optimization techniques, to find optimal solutions for single and multi-objective problems. The text pr