Based on combination of simulated annealing algorithm(SAA)and genetic algorithm,we have improved the existing genetic scheduling1algorithm and propose a new genetic scheduling algorithm maintaining optima adaptively with simulated annealing(SAMOAGSA).

Fuzzy controller based on adaptive genetic algorithm for a electro-hydraulic bending control system;

NURBS approximation of hull waterline based on reduced control points number with adaptive genetic algorithm;

A fuzzy self-turning controller based on adaptive genetic algorithm;

Research on intelligent auto-generating test paper based on adaptive genetic algorithms;

Topology optimization of a truss structure under dynamic loads is studied based on adaptive genetic algorithms.

To the non-linear mathematical model, a kind of adaptive genetic algorithms is brought forward to calculate the parameters of rolling resonance trajectory and the values of three little asymmetry factors directly, when persistent rolling resonance happens.

In the method,the genetic algorithm carries on the global optimization to get the threshold rapidly,and the computational method for crossover probability and mutation probability of the Adaptive Genetic Algorithm(AGA) is improved.

Aiming at the shortages existing in parameter optimization design of the 2DOF PID controller,a kind of adaptive genetic algorithm(AGA) is proposed to optimize these parameters.

Aiming at the problem that the simple genetic algorithm is easy to produce premature convergence,an Adaptive Genetic Algorithm(AGA)is presented to automatically generate test data.