Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications

ISBN-13: 9783030687755 / Angielski / Twarda / 2021 / 383 str.

Oscar Castillo; Patricia Melin

Spis treści

Multi-objective Portfolio Optimization Problem with Trapezoidal Fuzzy Parameters.- Optimization of the Internet Shopping Problem with Shipping Costs.- Multiobjective Algorithms Performance When Solving CEC09 Test Instances.- Analysis of the Efficient Frontier of the Portfolio Selection Problem Instance of the Mexican Capital Market 

Blurb

We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also some papers that presents theory and practice of meta-heuristics in different areas of application. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical applications. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems.