Implementing the open integration of programmable devices and proceeding to dispel "islands of automation" is an important approach for the enterprise to achieve global optimization.
实现可编程设备开放式集成进而消除“自动化孤岛”，是企业获得全局优化的重要途径。
The algorithm USES a population of points at a time in contrast to the single point approach by traditional optimization methods. The convergence is monotonic and a global solution is obtained.
与单点最优算法相比，该方法为多点寻优，单调收敛，可获得全局最优解和用于长、短期或实时优化调度。
The result shows that global coordination and optimization of process operating systems is achieved with the proposed approach.
结果表明：基于智能体的方法能实现多个运行决策的全局协调和集成，达到过程运行系统整体优化的目标。
Chaos optimization algorithm is a global search method of selecting SVMs parameters, simulations show that the proposed method is an effective approach for parameter selection.
混沌优化算法是一种全局搜索方法，将混沌优化算法应用于支持向量机参数选取问题中，仿真表明该方法的有效性。
Chaos optimization algorithm is a global search method of selecting SVMs parameters, simulations show that the proposed method is an effective approach for parameter selection.
混沌优化算法是一种全局搜索方法，将混沌优化算法应用于支持向量机参数选取问题中，仿真表明该方法的有效性。
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