Evolutionary Algorithms and Neural Networks Theory and Applications /

• Main Author: Mirjalili, Seyedali (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• 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.; Simulation and Modeling.

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...

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.