Dissimilation strategy of avoiding searching the same peak

Mind evolutionary computation (MEC) is a new approach to evolutionary computation (EC). It is proved that MEC has much higher computational efficiency and convergence ability than genetic algorithms (GAs). This is because MEC uses the operations of similartaxis and dissimilation rather than the crossover and mutation operators used in GAs, and also because of the different performance mechanisms from GAs, the memory mechanism, the evolutionary directional mechanism and the harmonizing mechanism between exploitation and exploration. This paper presents a new dissimilation strategy using rejected regions, which can avoid searching repeatedly, so that the capability of MEC to search globally in dissimilation is enhanced. It is the memory mechanism of MEC that makes the dissimilation strategy of rejected regions possible