An Application example of the breeder genetic algorithm to function optimization
Lluís A. Belanche Muñoz · Buran · 1999
Evoluti onary Algorithms (EA) have demonstrated their ab iLity to solve optimi zati on tasks in a wide range of applications. In thi s paper, after outlinin g the basics of such algorithms, the possibilitie s of one of the latest to emerge, the Breeder Genetic Algorithm (BGA) are exempli ed by addressing a c1ass ical numeri cal opti mization problem: the Fletcher-Powell pseudo-random function .