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基于Hopfield神经网络的单周期船舶调度模型及算法
Model & Algorithm of the Shipping Schedule Based on Single-cycle Hopfield Artificial Neural Network
【摘要】 从组合优化的角度介绍了基于Hopfield神经网络的单周期船舶调度问题的数学模型.建立了神经网络系统能量函数与优化问题目标函数之间的对应关系,提出了连续型Hopfield神经网络的解算方案,并通过实际算例表明该方法的有效性.
【Abstract】 From the point of the combination optimization view, we study model of single-cycle and algorithm for the shipping schedule though use of Hopfield artificial neural network. The corresponding relationships between neural network and optimal problem were built, such as neural network energy function and objective of optimal problem, and then a continuous Hopfield neural network (CHNN) is designed and applied to the processing. Finally, we give an application to demonstrate its effectiveness.
【关键词】 人工神经网络;
能量函数;
船舶调度;
算法;
【Key words】 artificial neural network; energy function; shipping schedule; algorithm;
【Key words】 artificial neural network; energy function; shipping schedule; algorithm;
【基金】 国家自然科学基金项目(70671108);湖南省教育厅科研项目(08C470)
- 【文献出处】 微电子学与计算机 ,Microelectronics & Computer , 编辑部邮箱 ,2008年10期
- 【分类号】TP391.41
- 【被引频次】14
- 【下载频次】306