Genetic algorithms in a competitive environment with application to reliability optimal design

Authors:
C. Dimou;V. Koumousis
Affiliations:
Institute of Structural Analysis and Aseismic Research, National Technical University of Athens, Greece;Institute of Structural Analysis and Aseismic Research, National Technical University of Athens, Greece
Venue:
ICAAICSE '01 Proceedings of the sixth international conference on Application of artificial intelligence to civil & structural engineering
Year:
2001

Citing 1
Cited 1

Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning

Competitive genetic algorithms with application to reliability optimal design

Advances in Engineering Software - Civil-comp 2001

Quantified Score

Hi-index	0.00

Visualization

Abstract

Competition is introduced among the populations of a number of Genetic Algorithms (GAs). The aim is to calibrate the size of the populations of the GAs by altering the resources of the system i.e. the allocated computing time. The evolution of the different populations is controlled on the level of metapopulation, i.e. the union of populations, on the basis of statistics and trends of the evolution of every population. The method is applied to the reliability based optimal design of a simple truss. Numerical results are presented and the robustness of the proposed algorithm is discussed.