By Richard Baker
The past decade has witnessed a flurry of interest within the financial industry regarding artificial intelligence technologies, including neural networks, fuzzy systems, and genetic algorithms. In many ways, genetic algorithms, and the extension of genetic programming, offer an outstanding combination of flexibility, robustness, and simplicity. The following discussion highlights some of the key features of genetic algorithms (GAs), and illustrates an application of a particular GA in the search and estimation of global optima. The past decade has witnes
