混沌PSO梯级优化调度算法及实现

利用切比雪夫(Chebyshev)映射在[-1,1]区间上的遍历性和随机性,提出了一种基于切比雪夫映射的新型混沌粒子群优化(CPSO)算法.该算法在粒子群算法求出的最优解附近进行混沌搜索.提高了混沌粒子群算法的全局优化能力,能有效避免算法容易陷入局部最优以及解决逻辑斯谛(logistic)映射不能在负值区间进行搜索的问题.针对模型中复杂的约束条件,采用分段线性插值函数实现了对目标函数的求解,并通过对采用丰枯电价时三峡梯级水电系统长期优化调度问题的计算及与其他算法的对比,验证了该算法可解决具有复杂约束条件的工程优化问题.     

Drive Control of Spiral Wave and Turbulence by a Target Wave in CGLE

Suppression of spiral wave and turbulence in the complex Ginzburg–Landau equation(CGLE)plays a prominent role in nonlinear science and complex dynamical system.In this paper,the nonlinear behavior of the proposed drive–response system,which consists of two coupled CGLEs,is investigated and controlled by a state error feedback controller with the lattice Boltzmann method.First,spiral wave and turbulence are,respectively,generated by selecting appropriate parameters of the response system under the no-flux boundary and perpendicular gradient initial conditions.Then,based on the random initial condition,the target wave yielded by introducing spatially localized inhomogeneity into the drive system is applied on the above response system.The numerical simulation results show that the spiral wave and turbulence existing in the response system could be successfully eliminated by the target wave in the drive system during a short evolution time.Furthermore,it turns out that the transient time for the drive course is related to the control intensity imposed on the whole media.