On nonlinear genetic algorithm based on Tabu search;

By extending the search capability of genetic operators, a new nonlinear genetic algorithm (NGA) is introduced in which a new dynamic double nonlinear crossover operator and a new mutation operator based on chaos technique are given.

To solve the model,first some methods are used to cluster the charges,then the nonlinear genetic algorithm based on Tabu search technique is proposed to evolution.

The nonlinear programming algorithm for the regression analysis of the experiment data and the optimum solution of the regression model is given.

Based on the functional block diagram and the signal flow of an equipment,its fault information matrix is structured, and a genetic programming algorithm (GPA) is used for finding the best strategy to its fault isolation, which is made up of some ordered test points It can be used to isolate the failed component with the fewest test points and the least tim

Optimization of reservoir operation by using dynamic programming-genetic algorithm;