Metaheuristic Computation with MATLAB®: 1st Edition (Hardback) book cover

Metaheuristic Computation with MATLAB®

1st Edition

By Erik Cuevas, Alma Rodriguez

Chapman and Hall/CRC

336 pages | 100 B/W Illus.

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Hardback: 9780367438869
pub: 2020-07-14
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Description

Metaheuristic algorithms are considered generic optimization tools that can solve very complex problems characterized by having very large search spaces. Metaheuristic methods reduce the effective size of the search space through the use of effective search strategies. Metaheuristic Computation with MATLAB® provides a unified view of the most popular metaheuristic methods currently in use.

Book Features:

  • Includes the necessary concepts to enable readers to implement and modify already known metaheuristic methods to solve problems
  • Covers design aspects, but also implementation in MATLAB
  • Contains numerous examples of problems and solutions that demonstrate the power of these methods of optimization

The material has been written from a teaching perspective and for this reason, the book is primarily intended for undergraduate and postgraduate students of Artificial Intelligence, Metaheuristic methods and/or Evolutionary Computation. The objective is to bridge the gap between metaheuristic techniques and complex optimization problems that profit on the convenient properties of metaheuristic approaches. Therefore, engineer practitioners, who are not familiar with metaheuristic computation, will appreciate that the techniques discussed are beyond simple theoretical tools since they have been adapted to solve significant problems that commonly arise in such areas.

Table of Contents

Chapter 1 Introduction and main concepts

Chapter 2 Genetic algorithms (GA)

Chapter 3 Evolutionary Strategies (ES)

Chapter 4 Moth Flame Optimization (MFO)

Chapter 5 Differential Evolution (DE)

Chapter 6 Particle Swarm Optimization Algorithm (PSO)

Chapter 7 Artificial Bee Colony (ABC)

Chapter 8 Cuckoo Search Algorithm (CS)

Chapter 9 Multimodal techniques

About the Authors

Erik Cuevas is a Professor at the University of Guadalajara, Mexico. Alma Rodríguez is a PhD candidate in Electronics and Computer Science, University of Guadalajara, Mexico.

Subject Categories

BISAC Subject Codes/Headings:
COM000000
COMPUTERS / General
COM004000
COMPUTERS / Intelligence (AI) & Semantics
COM012040
COMPUTERS / Programming / Games
COM014000
COMPUTERS / Computer Science
COM037000
COMPUTERS / Machine Theory
COM044000
COMPUTERS / Neural Networks
COM059000
COMPUTERS / Computer Engineering
MAT004000
MATHEMATICS / Arithmetic