A GLOBAL OPTIMALITY CRITERION FOR EVOLUTIONARY COMPUTATION

作     者：Liu Jianqin Wei Minjie(College of Information Engineering,Central South University of Technology,Changsha　410083,China) 

出 版 物：《Journal of Central South University》 (中南大学学报（英文版）)

年 卷 期：1998年第10卷第1期

页      面：65-68页

学科分类：07[理学] 070104[理学-应用数学] 0701[理学-数学] 

主　　题：evolutionary computation artificial life global optimization 

摘      要：Focussing on unification of concrete portions into a generic form of computational evolution,a generalized theoretical framework is necessary and imperative to be built to construct a universal computational theory of evolution *** NP problem solving capacity can be traced to the nature of metaevolution mechanism with emergence features that determine corresponding homeostasis and diversity ranging in the domain of nonlinnear mapping from genotype to *** this paper a criterion that guarantees the global optimality of evolutionary computation process is proposed and proven *** global optimization criterion obtained is based on the nonparametric measarement for the whole evolution system and has great flexibility and *** leaves room for evolutionary system designing and *** formulization of the global description in statistical manifold space of information object family expresses evoluable evolutionary operator architecture and operation procedure in terms of evolution by *** theoretical results are helpful to applications such as machine learning for automatic knowledge acquisition,pattern classification and recognition of complex images(***) and unsupervised system identification of nonlinear dynamical systems as well as chaos *** kernal of the formal system guided by global evolutionary optimization is proper to the implementation with objectoriented programming paradigm and abstract machine modelling.