能量管理控制参数的优化是一个影响车辆性能的重要因素。
Energy management control parameter optimization is an important issue which affects the performances of vehicle in depth.
控制器——该组件监控工作流相关的大量变量，并以最优化一小组参数为目标，决定需要多少ec2实例。
Controller - This component monitors many variables related to the work flow and decides how many instances of EC2 are necessary based on optimizing a small set of goals.
采用一类全局收敛的连续模拟退火算法完成了控制器参数的优化设计。
A continuous simulated annealing algorithm with global convergence ability is applied to solve this controller parameters optimization design problem.
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