The chapter covers two main areas, these being an introduction to the technology and
techniques associated with genetic algorithms and then the second part looks at how …

A genetic algorithm is applied for the optimal design of skeletal building structures
accounting for discrete sizing, geometrical and topological variables. An approximate fitness …

A genetic algorithm is applied for the optimal design of skeletal building structures
accounting for discrete sizing, geometrical and topological variables. An approximate …

This paper describes a versatile methodology for solving topology design optimization
problems using a genetic algorithm (GA). The key to its effectiveness is a geometric …

Evolutionary methods such as genetic algorithms are proving to be powerful tools for solving
Engineering problems. The generally accepted wisdom is that the only connection between …

Abstract The Genetic Algorithm, a search and optimization technique based on the theory of
natural selection, is applied to problems of structural topology optimization. Given a …

Civil engineering design problems are typically approached using traditional techniques ie
deterministic algorithms, rather than via stochastic search such as evolutionary algorithms …

Design is a complex engineering activity, in which computers are more and more involved.
The design task can often be seen as an optimization problem in which the parameters or …

This paper describes the encoding of domain knowledge for use by a genetic algorithm. We
use the domain of system con guration design problems; speci cally, the structural design …

Standard genetic algorithms operate on a fixed parameterization of the design space, which
must be fully specified before optimization begins. Variable-complexity encodings can …