The model of genetic adaption is a stochastic search method for discrete non-linear optimization problems derived from biological evolution. Due to alternative mutations (i.e. small changes in the structures to be optimized) and selection (of the structure most suitable for this purpose) structurelines are developed. The results of expreience obtained during the optimization processes (statistical correlation between structures at a poor sub-optimal value is avoided by parallel search using several structures. The method of genetic adaptation is superior to the common blind search. The convegence of the genetic-adaptation method can be compared with that of the blind search. The convegence of the genetic-adaptation method can be compared with that of the blind seach by a series of practical examples.