中文摘要：

介绍了基因表达式编程的基本原理,提出了具有线性复杂度的个体适应度评估方法（LFC）,并且在遗传操作中采用自适应代沟替代策略,解决了标准GEP算法在求解复杂问题时时空效率低的问题。仿真表明,与标准GEP算法相比,该算法在不损失解的质量的情况下,求解效率得到明显改善。

英文摘要：

The basic principle of Gene Expression Programming（GEP） is introduced.A new individual fitness evaluation method with linear complexity to deal with lower spatial temporal efficiency of standard GEP in solving complex problems is proposed. And the strategy of adaptive generation replacement is used in genetic operation.Simulation indicates,compared with standard GEP algorithm,the proposed method can significantly improve solution efficiency without loss of solution quality.