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 …

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

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 …

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 …

In this paper we describe a method for improving genetic-algorithm-based optimization
using informed genetic operators. The idea is to make the genetic operators such as …

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

In many design tasks it is difficult to explicitly define an objective function. This paper uses
machine learning to derive an objective in a feature space based on selected examples of …

EVOLVE: A genetic search based optimization code with multiple strategies C.-Y. Lin\P.
HajeW" Mechanical Engineering, National Taiwan Institute of Technology, Taipei, Taiwan …

In the optimization of engineering designs, traditional search and optimization methods face
at least two di culties:(i) since each is specialized in solving a particular type of problem, one …

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 …