This paper describes a new approach for reducing the number of the fitness function
evaluations required by a genetic algorithm (GA) for optimization problems with mixed …

The paper describes an implementation of genetic search methods in the optimal design of
structural systems with a mix of continuous, integer and discrete design variables. Design …

A design procedure is presented incorporating a genetic algorithm for framed structures
composed of discrete structural elements. The objective function considered is the total …

A design procedure is presented incorporating a genetic algorithm for framed structures
composed of discrete structural elements. The objective function considered is the total …

Optimizing most structural systems used in practice requires considering design variables as
discrete quantities. The paper presents a simple genetic algorithm for optimizing structural …

A search procedure with a philosophical basis in molecular biology is adapted for solving
single and multiobjective structural optimization problems. This procedure, known as a …

A dynamic parameter encoding method was previously presented by Schraudolph and
Belew [J Mach Learn 9 (1992) 9] for solving optimizing problems using discrete zooming …

This paper presents the applications of steady-state genetic algorithms to discrete
optimization of trusses. It is mathematically formulated as a constrained nonlinear …

The focus of this paper is on the development and implementation of a methodology for
automated design of discrete structural systems. The research is aimed at utilizing Genetic …

Two strategies to improve the search ability of genetic algorithms (GA's) in large scale
optimization problems are presented. The first strategy is referred to as directed crossover …