The discrete optimal actuator location selection problem in 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.
ASJC Scopus subject areas
- Aerospace Engineering