Evolutionary algorithms are a family of stochastic problem-solving techniques, within the broader category of what we
might call \u201cnatural-metaphor models\u201d, together with neural networks, ant systems, etc. They find their inspiration in
biology and, in particular, they are based on mimicking the mechanisms of what we know as \u201cnatural evolution\u201d. During
the last twenty-five years these techniques have been applied to a large number of problems of great practical and economic
importance with excellent results. This paper presents a survey of these techniques and a few sample applications
