This paper proposes a method for predicting protein-protein interaction sites by combining support vector machine(SVM) and the sequence profiles,the accessible surface area(ASA) and the evolution rate of a residue.

By introducing the intrinsic stochastic property and ergodicity of chaos movement and variable evolutionary rate, this algorithm can better simulate the process of biologic evolution, and possesses the better hill climbing ability.

In order to improve the evolutionary efficiency of gene expression programming(GEP) algorithm,an elitism-producing strategy(EPS) is proposed to obtain the GEP initial population.

A feedrate scheduling in die-cavity roughing based on cutting force surface model;