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基于多目标根系生长算法的高精铜锭熔炼作业调度 期刊论文
控制理论与应用, 2018, 卷号: 35, 期号: 1, 页码: 121-128
Authors:  张浩;  朱云龙;  亓祥波
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并行机调度  多目标优化  根系生长  高精铜铸锭  熔炼过程  
求解PFSP的双种群协同学习算法 期刊论文
控制与决策, 2017, 卷号: 32, 期号: 1, 页码: 12-20
Authors:  亓祥波;  朱云龙;  张丁一
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协同学习  置换流水车间调度  智能算法  
A new meta-heuristic butterfly-inspired algorithm 期刊论文
Journal of Computational Science, 2017, 卷号: 23, 页码: 226-239
Authors:  Qi XB(亓祥波);  Zhu YL(朱云龙);  Zhang H(张浩)
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Artificial Butterfly Optimization  Artificial Bee Colony Algorithm  Particle Swarm Optimization  Genetic Algorithm  
A hybrid firefly algorithm 会议论文
Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017, Chongqing, China, March 25-26, 2017
Authors:  Qi XB(亓祥波);  Zhu, Sihan;  Zhang H(张浩)
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Firefly Algorithm  Hybrid Firefly Algorithm  Bioinspired Algorithm  
仿生智能算法研究及其在铝加工排产中的应用 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2016
Authors:  亓祥波
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优化算法  仿生计算  群体智能  作业排产  置换流水车间调度  铝加工  
A novel bio-inspired algorithm based on plant root growth model for data clustering 会议论文
Proceedings of the 35th Chinese Control Conference, CCC 2016, Chengdu, China, July 27-29, 2016
Authors:  Qi XB(亓祥波);  Zhu YL(朱云龙);  Zhang H(张浩);  Zhang DY(张丁一);  Wu JW(吴俊伟)
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Artificial Root Mass Optimization Algorithm  Genetic Algorithm  Particle Swarm Optimization Algorithm  
面向铝挤压的作业排产优化 期刊论文
信息与控制, 2016, 卷号: 45, 期号: 5, 页码: 621-626
Authors:  亓祥波;  朱云龙;  南琳;  张福顺
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流水车间调度  人工蜜蜂群算法  作业排产  铝挤压  
基于域控制的权限系统模型设计与实现 期刊论文
机械设计与制造, 2014, 期号: 2, 页码: 178-180
Authors:  亓祥波;  朱云龙;  张志东;  王海
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  域控制  受限对象  
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)
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Animals  Intelligent Computing  Particle Swarm Optimization (Pso)  
A Learnable Artificial Bee Colony Algorithm for Numerical Function Optimization 会议论文
Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, Baotou, China, August 16-19, 2013
Authors:  Qi XB(亓祥波);  Zhu YL(朱云龙);  Nan L(南琳);  Ma LB(马连博)
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Learnable Artificial Bee Colony  Artificial Bee Colony  Particle Swarm Optimization