摘要
以提高整流效率为目标,提出了一种基于蚁群算法的复杂组合优化方法。阐述了该算法的基本原理,针对本系统的约束条件和机组电流连续变化的特点,对蚁群算法进行相应的改进,同时克服了蚁群算法不太适合求解连续参数优化问题的缺陷。采用现场数据进行验证,结果表明,该方法收敛于全局最优解,收敛速度满足需要,过程比传统的工程方法简单,计算结果优于工程方法。
Based on ant colony algorithm, a novel method for combinational optimization problems is put forword to improve the efficieny of rectification unit. After introducing the essence of the ant colony algorithm,for the restrictions of the system and the character of the continuous varied paraments,the method of the algorithm is improved correspondingly, and the drawback of ant colony of not being suitable for solving continous optimization problems is overcome. The experimental data show that this algorithm is convergent to the global optimum. The speed of convergence can meet the requirement of the engineering. This method is easier than the traditional engineering methods, and produces a more precision result.
出处
《电气传动自动化》
2007年第1期28-31,共4页
Electric Drive Automation
关键词
蚁群算法
整流机组
效率优化
ant algorithm
rectificatiaon unit
efficiency optimization
