Swarm Intelligence and Evolutionary Computation: Theory, Advances and Applications in Machine Learning and Deep Learning Kouziokas Georgios
Swarm Intelligence and Evolutionary Computation: Theory, Advances and Applications in Machine Learning and Deep Learning Kouziokas Georgios The aim of this book is to present and analyse theoretical…
Specifikacia Swarm Intelligence and Evolutionary Computation: Theory, Advances and Applications in Machine Learning and Deep Learning Kouziokas Georgios
Swarm Intelligence and Evolutionary Computation: Theory, Advances and Applications in Machine Learning and Deep Learning Kouziokas Georgios
The aim of this book is to present and analyse theoretical advances and also emerging practical applications of swarm and evolutionary intelligence. Chapter 1 provides a theoretical introduction of the computational optimization techniques regarding the gradient based methods such as steepest descent, conjugate gradient, newton and quasi-Newton methods and also the non-gradient methods such as genetic algorithm and swarm intelligence algorithms. It comprises ten chapters.
Swarm intelligence theory and particle swarm optimization algorithm are reviewed in Chapter 3. Chapter 2 discusses evolutionary computation techniques and genetic algorithm. Also, several variations of particle swarm optimization algorithm are analysed and explained such as Geometric PSO and Quantum mechanics - based PSO Algorithm.
Chapter 4 deals with two essential colony bio-inspired algorithms: Ant colony