Publication: Optimization of truss by using genetic algorithms
Loading...
Date
2002-03-01
Authors
Kamarudin, Mohammad Dzulkarnain
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
An optimization procedure is presented for the minimum weight optimization with
discrete design variables for truss structures subjected to constraints . Optimizing most
structural systems used in practice requires considering design variables as discrete
quantities. The paper presents a simple genetic algorithm for optimizing structural
systems with discrete design variables.
As genetic algorithms are best suited for unconstrained optimization problems, it is
necessary to transform the constrained problem into an unconstrained one. A penaltybased
transformation method is used in the present work. The penalty parameter depends
on the degree of constraint violation, which is found to be well suited for a paralleled
search using genetic algorithms.
The concepts of optimization using genetic algorithm are solved in details
using a three-bar truss problem. All the computations for three successive generations are
presented in the form of tables for easy understanding of the algorithm. Applications of
the genetic algorithm to design optimization of a larger problem are solved using a tenbar
truss.