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深度学习节点分配的遗传算法设计 被引量:3
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作者 蔡恒雨 郑启龙 《小型微型计算机系统》 CSCD 北大核心 2021年第6期1158-1164,共7页
随着深度学习技术的快速发展,模型的结构越来越复杂,需要的计算资源和存储资源也越来越多.单核计算设备通常无法满足深度学习的需求,通常将深度学习模型部署在众核和分布式计算设备上.BWDSP众核虚拟平台具有较强的计算能力和较大的存储... 随着深度学习技术的快速发展,模型的结构越来越复杂,需要的计算资源和存储资源也越来越多.单核计算设备通常无法满足深度学习的需求,通常将深度学习模型部署在众核和分布式计算设备上.BWDSP众核虚拟平台具有较强的计算能力和较大的存储资源,提供的并行通信接口MPIRIO适合深度学习模型的部署.本文基于BWDSP众核虚拟平台和并行通信接口MPIRIO,使用遗传算法优化深度学习模型在BWDSP虚拟平台上的部署,加速深度学习模型的训练过程.设计了静态遗传算法和动态遗传算法两种算法,优化了深度学习模型计算节点在BWDSP虚拟平台上的分配,实现了虚拟平台上的深度学习模型加速,并通过实验证明了两种遗传算法的有效性. 展开更多
关键词 深度学习 BWDSP 众核虚拟平台 MPIRIO 静态遗传算法 动态遗传算法
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Static and dynamic collaborative optimization of ship hull structure 被引量:4
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作者 黄海燕 王德禹 《Journal of Marine Science and Application》 2009年第1期77-82,共6页
The goal of this effort was to provide a static and dynamic collaborative optimization (CO) model for the design of ship hull structure. The CO model integrated with static, mode and dynamic analyses. In the system-... The goal of this effort was to provide a static and dynamic collaborative optimization (CO) model for the design of ship hull structure. The CO model integrated with static, mode and dynamic analyses. In the system-level optimization model, a new objective function was advised, integrating all the subsystem-levels' objective functions, so as to eliminate the effects of dimensions and magnitude order. The proposed CO architecture enabled multi-objectives of the system and subsystem-level to be considered at both levels during optimization. A bi-level optimization strategy was advised, using the multi-island genetic algorithm. The proposed model was demonstrated with a deck optimization problem of container ship stern. The analysis progress and results of example show that the CO strategy is not only feasible and reliable, but also well suited for use in actual optimization problems of ship design. 展开更多
关键词 collaborative optimization multi-island genetic algorithm static analysis dynamic analysis
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Application of genetic algorithm in quasi-static fiber grating wavelength demodulation technology 被引量:3
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作者 TENGFeng-cheng YlNWen-wen WUFei LIZhi-quang WUTi-hua 《Optoelectronics Letters》 EI 2007年第4期271-274,共4页
A modified genetic algorithm (GA) has been proposed, which was used to wavelength demodulation in quasi-static fiber grating sensing system. The modification method of GA has been introduced and the relevant mathema... A modified genetic algorithm (GA) has been proposed, which was used to wavelength demodulation in quasi-static fiber grating sensing system. The modification method of GA has been introduced and the relevant mathematical model has been established. The objective function and individual fitness evaluation strategy interrelated with GA are also established. The influence of population size, chromosome size, generations, crossover probability and mutation probability on the GA has been analyzed, and the optimal parameters of modified GA have been obtained. The simulations and experirnents, show that the modified GA can be applied to quasi-static fiber grating sensing system, and the wavelength demodulation preci- sion is equal to or less than 3 pm. 展开更多
关键词 静态光纤 波长 遗传算法 调制技术
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Static and Dynamic Scaling Relationships for Moderate and Small Earthquakes in the Yunnan Region
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作者 Liu Lifang Yang Jingqiong +2 位作者 Hua Wei Su Youjin Liu Jie 《Earthquake Research in China》 2012年第3期399-410,共12页
Source spectra for moderate and small earthquakes are obtained after removing the path effect, site effect, and instrument response, etc. in the observed S-wave spectra. Based on the Brune source model and by means of... Source spectra for moderate and small earthquakes are obtained after removing the path effect, site effect, and instrument response, etc. in the observed S-wave spectra. Based on the Brune source model and by means of genetic algorithm, the source parameters including seismic moment, stress drop, source dimension, etc. are determined, the radiated seismic energy for small-to-moderate earthquakes is measured with consideration of underestimation and compensation brought forth by limited bandwidth of the instrument, and the scaling relationships of static and dynamic parameters for earthquakes 展开更多
关键词 Source parameter Scaling relation Moderate and small earthquakes Genetic algorithm
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