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生物启发式协同优化算法及其在交通流预测中的应用研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2018
Authors:  王丹萍
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生物启发式计算  协同进化  短时交通流预测  
基于最优觅食理论的新型生物启发式计算方法研究及应用 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2015
Authors:  刘洋
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生物启发式计算  最优觅食理论  人工蜂群算法  菌群优化算法  
面向喷印工艺的液滴状态优化模型与智能控制方法研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2015
Authors:  何茂伟
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喷墨打印技术  压电式喷头  集总参数模型  液滴状态优化  液滴图像分割  
A novel bionic algorithm inspired by plant root foraging behaviors 期刊论文
Applied Soft Computing Journal, 2015, 卷号: 37, 页码: 95-113
Authors:  Ma LB(马连博);  Zhu YL(朱云龙);  Liu, Yang;  Tian LW(田力威);  Chen HN(陈瀚宁)
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Artificial Root Foraging Optimizer  Bionic Optimization  Root Growth  Benchmark Test  
A modified Artificial Bee Colony optimizer by comprehensive learning and Powell' search 会议论文
2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), Shenyang, China, June 8-12, 2015
Authors:  Liu BY(刘博洋);  Shao WP(邵伟平);  Liu, Qiuyan;  Ma LB(马连博)
View  |  Adobe PDF(126Kb)  |  Favorite  |  View/Download:143/45  |  Submit date:2016/04/30
Comprehensive Learning  Artificial Bee Colony  Optimization Algorithm  
Root Growth Optimizer with Self-Similar Propagation 期刊论文
Mathematical Problems in Engineering, 2015, 卷号: 2015, 页码: 1-12
Authors:  He XX(何小贤);  Chen HN(陈瀚宁);  Niu B(牛奔);  Wang J(汪洁)
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高精度铜板带配料熔炼过程的智能建模与优化方法研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2014
Authors:  张浩
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配料优化  熔铸作业调度  生物启发式计算  多目标优化  铜板带  
Root growth model: a novel approach to numerical function optimization and simulation of plant root system 期刊论文
Soft Computing, 2014, 卷号: 18, 期号: 3, 页码: 521-537
Authors:  Zhang H(张浩);  Zhu YL(朱云龙);  Chen HN(陈瀚宁)
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Algorithms  Computer Simulation  Geologic Models  Optimization  Soils  
A Novel Plant Root Foraging Algorithm for Image Segmentation Problems 期刊论文
MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 卷号: 2014, 页码: 1-16
Authors:  Ma LB(马连博);  Hu KY(胡琨元);  Zhu YL(朱云龙);  Chen HN(陈瀚宁);  He MW(何茂伟)
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An idea based on plant root growth for numerical optimization 会议论文
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Nanning, China, July 28-31, 2013
Authors:  Qi XB(亓祥波);  Zhu YL(朱云龙);  Chen HN(陈瀚宁);  Zhang DY(张丁一);  Niu B(牛奔)
View  |  Adobe PDF(180Kb)  |  Favorite  |  View/Download:460/74  |  Submit date:2013/10/04
Animals  Intelligent Computing  Particle Swarm Optimization (Pso)