OPTIMAL PLACEMENT OF ACTUATORS IN ACTIVELY CONTROLLED STRUCTURES USING GENETIC ALGORITHMS

THE discrete optimal actuator location selection problem Tin actively controlled structures is cast in the framework of a zero-one optimization problem. A genetic algorithmic approach is developed to solve this zero-one optimization problem. To obtain successive generations that yield the solution corresponding to the maximum fitness value, this approach involves three basic operations: reproduction, crossover, and mutation. It can produce a global-optimal solution or a near-global-optimal solution if a sufficient number of generations are considered. Simplicity and parallel processing properties are the two attractive features of genetic algorithms. An example is presented to demonstrate the approach.