Then,by integrating genetic algorithm and niche technology,the best sequence of the shaped parts and their optimal rotating angle are sought.

To the drawback that an immune algorithms solve the multi-model optimizing problem,the immune algorithms is improved by using a niche technology of similar structure and eliminating near best result operator.

To solve synchronization problem in assignment of machines to operations and the scheduling of operations on the assigned machines in Flexible Job shop Scheduling Problem(FJSP) with multi-objective,a hybrid genetic algorithm combining random weigh method with niche technology was proposed.

Based on the characteristic analyses of scheduling in papermaking process,a niche-based genetic algorithm for it is proposed.

The theory of niche technique and fuzzy control are introduced into the GA,for the purpose of enhancing the population diversity and maintaining the best parts of each generation.

NIGA based on immune algorithm employs genetic operators to improve antibodies,and niche technique to increase the population diversity.

In order to improve the capability of the traditional algorithm of parameter optimization in hydrology model,a hybrid accelerating genetic algorithm(HAGA) based on niche technique is suggested by adding locally searching operator and accelerated searching operator in real coding genetic algorithm.

Secondly,genetic simulated annealing algorithm and niche technique are integrated to search for the best sequence of the packed parts and each p.

This algorithm imports simplex searching algorithm,saving best result algorithm and eliminating near best result algorithm based on niche selection technology.

By means of niche selection technology, saving best result strategy and eliminating near best result strategy, genetic algorithm by which many optimal solutions may be solved has been designed.