Stochastic form optimization

Abstract Engineering decision-making processes are the subject of design methodology, engineering optimization, and heuristics. However, a large class of engineering problems exists which cannot be easily classified as suitable for the application of methods belonging to any of these three groups. In particular, engineering problems requiring innovative, patentable solutions are in a gray area between the engineering branches of heuristics, innovative design, and shape optimization, which is considered a subfield of optimization. These problems can be also dealt with using the techniques of artificial intelligence. This paper describes a unique computer-oriented innovative design method. Stochastic Form Optimization, which can also be classified as a nondeterministic optimization method. The proposed model of the generation of innovative solutions is based on a stochastic simulation of morphological analysis. It has also been used in BRZDYL1, a learning expert system for engineering design currently under...