Special Issue on Computational Intelligence in Structural Engineering and Mechanics

Abstract

Computational Intelligence (CI) has its origins in artificial intelligence and it has a broad algorithmic scope. CI algorithms 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, 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 been applied in structural engineering and mechanics for computational modeling and surrogate models for response predictions, system identification, robust optimization and design, structural health monitoring, structural control, and other tasks.

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