Topology Optimization of Trusses—Random Cost Method Versus Evolutionary Algorithms

Authors:
Bernd Baumann;Bernd Kost
Affiliations:
Fachhochschule Hamburg, Fachbereich Maschinenbau und Produktion, Berliner Tor 21, D-20099 Hamburg, Germany. baumann@rzbt.fh-hamburg.de;Fachhochschule Hamburg, Fachbereich Maschinenbau und Produktion, Berliner Tor 21, D-20099 Hamburg, Germany. kost@rzbt.fh-hamburg.de
Venue:
Computational Optimization and Applications
Year:
1999

Citing 5
Cited 2

Adaptation in natural and artificial systems

Adaptation in natural and artificial systems
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Numerical Optimization of Computer Models

Numerical Optimization of Computer Models
Genetic Algorithms and Evolution Strategies - Similarities and Differences

PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
An analysis of the behavior of a class of genetic adaptive systems.

An analysis of the behavior of a class of genetic adaptive systems.

Waveform diversity via mutual information

Digital Signal Processing
Structure assembling by stochastic topology optimization

Computers and Structures

Quantified Score

Hi-index	0.00

Visualization

Abstract

The recently proposed random cost method is applied to thetopology optimization of trusses. Its performance is compared toprevious genetic algorithm and evolution strategy simulations.Random cost turns out to be an optimization method with attractivefeatures. In comparison to the genetic algorithm approach of Hajela,Lee and Lin, random cost turns out to be simpler and more efficient.Furthermore it is found that in contrast to evolution strategy, therandom cost strategy‘s ability to find optima, is independent of theinitial structure. This characteristic is related to the importantcapacity of escaping from local optima.