Application of the island-genetic algorithm to optimal impact resistance design of a RC slab

Abstract

When seeking optimal parameters by numerical analysis in performance-based design, the number of combinations may increase to an extreme level, or objective functions or restrictions may not be accurately formulated. Then, genetic algorithms (GAs) are sometimes used. For certain problems, however, computation takes much time or no effective solutions are obtained even with the use of GAs. To compensate for such shortcomings, this study examines the applicability of island genetic algorithm (island-GA), a type of distributed genetic algorithm, to design problems. Using distributed-GA is expected to lead to efficient application of grid computing. Then, the time of computation may be reduced and networks of computers may be used effectively. The effectiveness of island-GA is verified in optimal impact resistance design for reinforced concrete slabs as an example of design problem.