Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering

• Corporate Author: SpringerLink (Online service)
• Other Authors: Platt, Gustavo Mendes (Editor, http://id.loc.gov/vocabulary/relators/edt), Yang, Xin-She (Editor, http://id.loc.gov/vocabulary/relators/edt), Silva Neto, Antônio José (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Computational intelligence.; Mathematical optimization.; Probabilities.; Computational Intelligence.; Discrete Optimization.; Continuous Optimization.; Probability Theory and Stochastic Processes.

This book focuses on metaheuristic methods and its applications to real-world problems in Engineering. The first part describes some key metaheuristic methods, such as Bat Algorithms, Particle Swarm Optimization, Differential Evolution, and Particle Collision Algorithms. Improved versions of these m...

Table of Contents:

• Chapter 01- An Overview of the Use of Metaheuristics in Two Phase Equilibrium Calculation Problems
• Chapter 02- Reliability-based Robust Optimization Applied to Engineering System Design
• Chapter 03- On Initial Populations of Differential Evolution for Practical Optimization Problems
• Chapter 04- Application of Enhanced Particle Swarm Optimization in Euclidean Steiner Tree Problem Solving in RN
• Chapter 05- Rotation-Based Multi-Particle Collision Algorithm with Hooke-Jeeves Approach Applied to the Structural Damage Identification
• Chapter 06- Optimization in Civil Engineering and Metaheuristic Algorithms: a Review of State-of-the-Art Developments
• Chapter 07- A Bioreactor Fault Diagnosis Based on Metaheuristics
• Chapter 08- Optimization of Nuclear Reactors Loading Patterns with Computational Intelligence Methods
• Chapter 09- Inverse Problem of an Anomalous Diffusion Model Employing Lightning Optimization Algorithm
• Chapter 10- Study of the Impact of the Topology of Artificial Neural Networks for the Prediction of Meteorological Data
• Chapter 11- Constructal Design Associated with Genetic Algorithm to Maximize the Performance of H-shaped Isothermal Cavities
• Chapter 12- Co-Design System for Tracking Targets using Template Matching
• Chapter 13- A Hybrid Estimation Scheme Based on the Sequential Importance Resampling Particle Filter and the Particle Swarm Optimization (PSO-SIR)
• Chapter 14- Fault Detection Using Kernel Computational Intelligence Algorithms
• Index.