Published May 2015 | Version public
Journal Article

Introduction

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon TU Dresden
  • 3. ROR icon Université Gustave Eiffel

Abstract

Computational Intelligence (CI) is a broad group of computational methods that have their origin in artificial intelligence and are often based on mimicking natural systems or processes such as biological neural networks, evolution, swarming of social organisms, and human cognitive processes. They include algorithms in machine learning (e.g., artificial neural networks, Bayesian networks, and support vector machines), fuzzy modeling (e.g., fuzzy logic, fuzzy sets), stochastic modeling, evolutionary computation (e.g., genetic algorithms), and other optimization algorithms such as simulated annealing, ant colony and particle swarm methods. CI methods have received much attention across all engineering disciplines in recent years. In structural engineering and mechanics, they have been applied for response predictions, system identification, robust optimization and robust design, structural health monitoring, structural control, and other tasks.

Additional Information

© 2015 Computer-Aided Civil and Infrastructure Engineering.

Additional details

Identifiers

Eprint ID
57345
DOI
10.1111/mice.12150
Resolver ID
CaltechAUTHORS:20150507-142715933

Related works

Describes
10.1111/mice.12150 (DOI)

Dates

Created
2015-05-08
Created from EPrint's datestamp field
Updated
2021-11-10
Created from EPrint's last_modified field