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 …

Genetic algorithms (GAs) have been extensively used as a means for performing global
optimization in a simple yet reliable manner. However, in some realistic engineering design …

Adaptive Search techniques such as the Genetic Algorithm (GA) are seen as powerful
optimisation algorithms that are capable of negotiating complex design spaces avoiding …

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 …

Genetic algorithms (GAs) have been extensively used as a means for performing global
optimization in a simple yet reliable manner. However, in some realistic engineering design …

Genetic algorithms (GAs) have been extensively used in different domains as a means of
doing global optimization in a simple yet reliable manner. They have a much better chance …

The paper describes an investigation into the application of the genetic algorithm in the
optimization of structural design. Stochastic processes generate an initial population of …

The initial motivation for the development of algorithms inspired by biological principles of
evolution was the design and implementation of robust adaptive systems. Among the most …

In this paper we describe a method for improving genetic-algorithm-based optimization
using search control. The idea is to utilize the sequence of points explored during a search …

Genetic algorithms constitute a class of search algorithms especially suited to solving
complex optimization problems in engineering. In addition to parameter optimization …