1 Table of Contents: “... Algorithm -- Application Problems -- Simulation Results -- Conclusions...”

2 Table of Contents: “... of parameters in the GWO algorithm using type-1 and interval type-2 fuzzy logic -- Ensemble Neural Network...”

3 Table of Contents: “... of Controlled Sets in Medical Diagnosis -- Dynamic Adjustment of an Artificial Fish Swarm Algorithm using...”

4 “... Optimization), ACO (Ant Colony Optimization) and GSA (Gravitational Search Algorithm), where some parameters...”

5 “... networks, bio-inspired algorithms and time series. This book describes the construction of ensembles...”

6

7 Table of Contents: “... Subrings -- Fuzzy Dynamic Parameter Adaptation in the Mayfly Algorithm: Implementation of fuzzy adaptation...”

8 Table of Contents: “... of Benchmark Functions -- Particle Swarm Optimization Algorithm with Improved Opposi-tion-Based Learning (IOBL...”

9 Table of Contents: “... of Genetic Algorithms Applied in the Optimization of Type-2 Fuzzy Systems -- Particle Swarm Optimization...”

10 Table of Contents: “...Part I Type-2 Fuzzy Logic -- Part II Bio-Inspired Algorithms -- Part III Neural Networks -- Part IV...”

11 Table of Contents: “... Functions for its use in Intuitionistic Fuzzy Inference Systems -- A gravitational search algorithm using...”

12 “... and algorithms based on type-1 fuzzy systems. The second part consists of papers on new concepts and algorithms...”

13 “... consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part...”

14 “... networks and optimization algorithms are envisioned. In addition, the abovementioned methods are discussed...”

15 “...In this book, recent developments on fuzzy logic, neural networks and optimization algorithms...”

16 “... basically consists of papers that propose new optimization algorithms enhanced using fuzzy systems...”

17 “..., and bio-inspired optimization algorithms. This book describes the application of soft computing techniques...”

18 “..., neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid...”

19 “... controllers, and metaheuristic algorithms to improve the control behavior of complex nonlinear plants...”

20 “... logic, neural networks, bio-inspired algorithms, intelligent prediction, and similar ones. We consider...”