An improved algorithm HCGA is proposed here based on the combination of adaptive genetic algorithm and hill climbing method for automated software test data generation.

The hill climbing method in the design of Boolean functions was considered.

Design of boolean functions using mixed hill climbing algorithms;

Furthermore,the system can obtain the optimal current of object lens by the Hill Climbing Algorithm.

Container yard crane scheduling based on hill-climbing algorithm;

This paper builds a hybrid genetic algorithm which is the combination of genetic algorithm and hill-climbing algorithm for solving active power dispatch problem, and conducts some experimental computations.

According to the features of physical distribution,this paper puts forward the mathematic model for solving planning,and proposes a mixed hybrid algorithm which can overcome the shortcomings in searching of the hybrid algorithm and hill-climbing algorithm.

The paper summarizes: genetic algorithm toresolve simple plant location problems (SPLP), generates thenext generation by the combination of genetic algorithm andlocal search algorithm so as to avoid plunge in local optimiz-ing solution.

On the basis of analyzing the weakness of genetic algorithm in local search,this paper builds a hybrid genetic algorithm which is the combination of genetic algorithm and local search algorithm for solving physical distribution routing problem,and makes some experimental computations.