In this paper an elitist genetic algorithm (GA) developed by the authors is compared with
common commercial solutions for complex structural optimization. After its prior validation on …

A two-phase GA approach is presented for minimum weight design of free-form steel space-
frame roof structures consisting of discrete commercially available rectangular hollow …

One of the most important practical considerations in the optimization of steel structures is
that structural members are generally to be selected from available steel profiles …

Among all the optimization techniques, the genetic algorithms (GAs) stand out because of
their mathematical simplicity, the no necessity of information about the objective function or …

This paper shows the implementation of an elitist genetic algorithm that, when applied to
steel structures, is able to obtain structural elements with minimum weight and satisfy the …

In this paper a structural optimization technique based on a modified genetic algorithm (GA)
is presented. The technique is developed to deal with discrete design optimization of …

We propose a new algorithm, named Asymmetric Genetic Algorithm (AGA), for solving
optimization problems of steel frames. The AGA consists of a developed penalty function …

A design procedure incorporating a simple genetic algorithm (GA) is developed for discrete
optimization of two-dimensional structures. The objective function considered is the total …

The production and processing of building materials is responsible for a significant share of
global greenhouse gas emissions. Nevertheless, in current building practice, a lot of …

This paper presents a hybrid optimisation method in which a local search operator based on
a rigorously derived optimality criteria (OC) technique is embedded in the framework of a …