The origin and development of the memetic algorithm as well as its applications in various optimization problems are introdued in the paper.

According to engineering practice, this paper studies the multi-state multi-stage multi-resource leveling optimization, build optimization model and apply genetic optimization algorithms (GO) to solve this problem .

Deals with the problem of information overload on the Web, proposes a new information immune modal (IIM) based on gene algorithm.

Deals with the problem of information overload on the Web, and proposes a new information immune model (IIM) based on gene algorithm.

With the aim at the problems of normal BP algorithm with a slow constringence rate, easily falling into local minimum values and effect of network initial state upon network performances,etc,the mathematical model of one dimensional magnetic levitation control system is established, and the intelligent control method of the optimal neural network by gene algorithm is designed in this paper.

Using genetic algorithm to realize optimization of cutting parameter real time in workplace;

Application of accelerative genetic algorithm to forecast marine environment;

Genetic algorithm for the optimization of road surface cleaning process;

Genetic Algorithms with Application to Multi-objective Optimization of Aerodynamic Shapes;

The Decision of the Stimulation Coeffcients of the Antenna Array by Genetic Algorithms;

The multi-criteria optimization algorithms for multi-element airfoil in aerodynamics using Genetic Algorithms(GAs) and Game Theory(Nash Equilibrium and Stackelberg Equilibrium) is presented in this paper.