【作者】 姜昌华； 胡幼华；

【Author】 Changhua Jiang Youhua Hu (Computer Center Department of Computer Science and Technology,East China Normal University,Shanghai,200062)

【机构】 华东师范大学计算机科学技术系； 华东师范大学计算中心；

【摘要】 为了解决随机性系统的仿真优化问题,基于遗传算法设计了一个仿真优化包。针对系统的随机特性,本文提出一种新的选择算子并设计了一个侯选解收集器。在软件实现时,采用了面向对象和设计模式技术,这使仿真优化包具有较好的通用性和可扩展性。仿真实例表明本文所设计的仿真优化包是可行且有效的。更多还原

【Abstract】 A simulation optimization package based on genetic algorithms is designed to solve the optimization problem of the stochastic system. A new selection operation and a candidate solutions collector are proposed due to the stochastic nature of the system. Simulation optimization package became more universal and easier to extend since Object-Oriented and design pattern techniques are adopted. A test case shows that the simulation optimization package designed in this paper is feasible and efficient.更多还原