The Central Force Optimization Algorithm Based On The Uniform Design

To solve the global optimization problem is one of the main research content. In practical application, the objective function may be non-convex, nondifferentiable, even cannot be expressed, so the traditional optimization algorithms cannot meet the requirement of solving global optimization problems. Thus in recent years many heuristic optimization algorithms which do not require much information about the objective function have been proposed.CFO algorithm is a new heuristic algorithm which is proposed based on the law of universal gravitation and the law of motion. But at present the research is less for CFO algorithm. In this paper, CFO algorithm is been studied.CFO algorithm mainly has good advantages in the solution precision. But the computing time of the algorithm is too long for the reason that initial probe distribution is too much, which affects the performance of the CFO algorithm. This paper proposed a CFO algorithm based on the uniform design. The major contribution of the algorithm is using the uniform design in IPD, which can reduce computing time and ensure accuracy of the algorithm. In the end, we applied the proposed algorithm to twenty three typical test functions, and compared with the CFO and three modified CFO algorithms. The numerical results illustrate that the proposed algorithm can reduce computing time on the premise of guaranteeing the optimization ability.