Title: Introducing full memory in Genetic Algorithms
Authors: Charalampakis AE
Type: Conference paper
Conference: 2nd International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering (CSC2011)
Venue: Chania, Crete, Greece
Date: 2011
Language: English

[abstract]

In this paper, several variants of Differential Evolution, Particle Swarm Optimization and Genetic Algorithms are employed for the identification of a Bouc- Wen hysteretic system that represents a full-scale bolted-welded steel connection. The purpose of this work is to assess their comparative performance in a highly nonlinear identification problem. Interesting results are produced that reveal the strengths and weaknesses of each algorithm.

[cite as]

Charalampakis AE. Introducing full memory in Genetic Algorithms. Proc. 2nd International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering (CSC2011), Chania, Crete, Greece; 2011.

[ paper]
[ presentation]