Genetic Quantum Algorithm for Voltage and Pattern Design of Piezoelectric Actuator

This paper presents genetic quantum algorithm and its associated evolutionary tools for the voltage and pattern design of piezoelectric actuator. Genetic quantum algorithms (GQA) is similar to genetic algorithms (GA) maintain a population of individuals but each individual is composed of probabilistic quantum bits for preserving diversity. Also, instead of crossover or mutation, GQA use quantum gates (QG) to update individuals and to guide the evolutionary process. Genetic quantum algorithm can be use as an effective optimization tool for shape control of structures. Shape control of structures, with special emphasis on piezoelectric control actuation has found an wide range of applications in recent years. In shape control one intends to specify the spatial distribution, or the shape, of an actuating control agency, such that the displacement field of a structure is distorted from its original shape.