思维进化计算的描述与研究成果综述

Mind Evolutionary Computation and Applications

思维进化计算（Mind Evolutionary Computation，MEC）是孙承意于1998年提出的一种新的进化计算方法。它模仿人类思维申趋同、异化两种思维模式交互作用，推动思维进步的遏程。MEC多方面的性能优越，造是由于采用“趋同”和“异化”操作代替GA的选择、交叉和变异算子以及MEC与GA不同的运行机制：记忆机制、定向机制和探测与开采功能之间的协调机制。本文给出MEC迄今为止最完整的描述。由于篇幅所限，本文仅简单介绍MEC的主要研究成果。

Mind Evolutionary Computation （MEC） is a new approach of Evolutionary Computation （EC） proposed by Chengyi Sun in 1998. MEC simulates the process of mind-progress which is made by the interaction between siinilartaxis and dissimilation. MEC has excellent performances on various aspects because operations of similartaxis and dissimilation are employed in MEC rather than crossover and mutation operators in GAs. The excellent performances are accomplished also due to three mechanisms of MEC, which are evolutionary directionality m^chanism, memory mechanism and harmony mechanism between exploitation and exploration. A complete description of MEC is given in this paper. Then the achievement on study of MEC is summarized simply because of the paper length limit.