Evaluation of intelligent algorithms for Multidisciplinary Design Optimization

There have no criteria for comparison of intelligent algorithms at present. Characteristics of several intelligent algorithms concerned with Multidisciplinary Design Optimization are summarized, and on the basis, several criteria such as time, precision, numbers of problems solved are put forward. It is the first time to use the precision as criterion of comparison. This article originally introduces short-time optimizing capacity to aim at engineering problems. A series of instructional conclusions are received by running the cases selected. The bearing seat example validates correctness of these conclusions.