Solving Single Objective Constrained Optimization Problem Based on Bacterial Foraging Method
This paper is aimed at single objective constraint optimization problem.The problem by using the penalty function method will be constrained optimization into unconstrained optimization problems to solve.It is used the function structure,a new objective function and constraints of reoccupy bacterial foraging algorithm for the new objective function is optimized.The algorithm has swarm intelligence algorithm for parallel search,the advantages of easy to jump out of local minimum values,etc,constantly looking for a better feasible solution,gradually to search the global optimal solution.The numerical simulation experiment results show that the method is feasible for solving constrained optimization problems,and also verify the effectiveness of the algorithm.
bacterial foraging algorithmtrendscopymigrationsingle objective constrained optimization problem
万方数据
维普
