关键词: 混合离散变量, 链传动, 局部最优解, 目标函数, 寻优方法, 次梯度, 有效函数, 基本思想, 梯度信息, 混合型

Abstract: An improved heuristic method for Optimum searching of mixed discrete variable problems,i.e.a mixed discrete expanded complex programming method(MDECP)is presented.The definition of‘effective function,in literature is modified by normalization and establishing a buffer region for equality constrained problems.The variable interval discrete technigue in engineering problems are discussed,thus broadening the scope of design.Furthermore,a new principle for check is proposed for a convergence criterion,which uses the maximum mixed sub-gradient defined in this paper rather than the sub-gradient of objective function to seek a local optimum solution.Calculation of a real cases has shown that the number of point-to-point check is greatly decreased and optimum searching is more effective.Finally,an optimum design of chain drive used in oil fields with discrete parameter is made in this paper.