RESEARCH ON MODIFIED GENE EXPRESSION PROGRAMMING AND ITS APPLICATION
Gene Expression Programming ( GEP) is a new type of self-adaptive evolutionary algorithm which is based on and developd from the advantages of genetic algorithm and genetic programming. It is a new technology. We introduce the current state of the GEP and key technologies, design the strategy of reverse elimination and the improvement program of the no-tree decoding process, aiming to maintain the variety of the population and increase the efficiency of the algorithm. The improved method is applied to the experiment of unitary and polynary function mining in order to obtain a founctional model of high accuracy and fitting degree. A satisfactory result has been achieved.
NETL
NSTL
万方数据
维普
