comparison of parameter-less meta-heuristic algorithms for structural optimization with frequency constraints

comparison of parameter-less meta-heuristic algorithms for structural optimization with frequency constraints

dealing with structural mass minimization, special consideration should be given to frequency limits for dynamic problems. it is generally more complicated than structural optimization under stress and displacement constraints. therefore, powerful methods are desired to accomplish such a challenging task. in this regard, a class of meta-heuristic algorithms is concerned here which does not need substantial tuning effort. having just the population-size and iteration-number as mere control parameters, they act as general tools for common engineering practice. the present work compares optimization performance in designing a number of benchmark structures with frequency constraints. as a result, relative priority of these methods over each other is obtained. it is found that the most rewarding ones take advantageous of some differential evolution operators.