摘要
针对舰船电子装备备件优化问题,分析了遗传算法和神经网络,利用遗传算法全局搜索能力强的优点,对神经网络进行优化,研究基于遗传算法和神经网络的混合遗传算法,并建立了基于遗传算法和神经网络的舰船电子装备备件优化模型。通过实例,该模型可有效提高备件优化的速度和精度。
In allusion to the problem of warship electronic equipments spare parts optimize, the text analyses genetic algorithm and neural network, makes use of virtue in strong entire search ability of genetic algorithm, optimizes neural network, researches mixed genetic algorithm based on genetic algorithm and neural network, and sets up warship electronic equipments spare parts optimize model based on genetic algorithm and neural network, this model can improve rapidity and precision of spare parts optimize efficiently through the example.
出处
《舰船科学技术》
北大核心
2008年第5期138-142,共5页
Ship Science and Technology
基金
教育部新世纪优秀人才支持计划项目(NCET-06-0653)
关键词
遗传算法
神经网络
电子装备
备件优化
genetic algorithm
neural network
electronic equipments
spare parts optimize
