Finite elements, genetic algorithms and &bgr;-splines: a combined technique for shape optimization

Authors:
W. Annicchiarico;M. Cerrolaza
Affiliations:
-;-
Venue:
Finite Elements in Analysis and Design
Year:
1999

Citing 0
Cited 8

Topology and shape optimization of structures using FEM and BEM: a bibliography (1999-2001)

Finite Elements in Analysis and Design
An enhanced approach for shape optimization using an adaptive algorithm

Finite Elements in Analysis and Design
Fatigue based 3D structural design optimisation implementing genetic algorithms and utilising the generalised Frost-Dugdale crack growth law

EC'08 Proceedings of the 9th WSEAS International Conference on Evolutionary Computing
Three-dimensional structural design optimisation based on fatigue implementing a genetic algorithm and a non-similitude crack growth law

Finite Elements in Analysis and Design
Evolutionary computation and structural design: A survey of the state-of-the-art

Computers and Structures
An enhanced approach for shape optimization using an adaptive algorithm

Finite Elements in Analysis and Design
Fatigue based 3D structural design optimisation implementing genetic algorithms and utilising the generalised Frost-Dugdale crack growth law

MACMESE'07 Proceedings of the 9th WSEAS international conference on Mathematical and computational methods in science and engineering
Computational procedure for optimum shape design based on chained Bezier surfaces parameterization

Engineering Applications of Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract