To address the low efficiency of the global optimization in the searching process of differential evolution,a differential evolution based on catastrophic strategy (CDE) was proposed,which applied the idea of a cusp catastrophic model and disaster operation timely.

A temperatureoscillatory operation with a temperature of 33 for the early 24 hours and of 27 for the later could shorten the cultivation time by about 16 hours in comparison with that of 28 for all the time without adverse effect on xylanase activity.

By using mutation and extending searching space, an efficient single loop SAA is improved.

We propose a modified genetic algorithm(GA) without mutation operators in order to reduce computation time and to simplify designing.

Considering that the organisms have the phenomena of escaping from the original cradle when they find the survival density is too high to live, this paper uses a special mutation –escape operator to make particles explore the search space more efficientl.

As viewed from safety,suggestions are put forward for its software design in three conditions:bus voltage violation operation,incoming switch by-pass and cooperation with protective device for special faults,which will improve its adaptability to site operation,security and maneuverability.

Two effective crossover and mutation operations based on the structures of chromosome are designed for the genetic algorithm.

Furthermore,a mutation operation is added to the iterative process to initialize the positions and velocities of the unable particles in order to keep the diversity of particle swarm.