School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China,Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan 430070, China;
School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China,Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan 430070, China;
School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China,Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan 430070, China;
School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China,Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan 430070, China;
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;
Department of Mechanical Engineering, School of Engineering, University of Birmingham, Birmingham B15 2TT, UK;
Cloud manufacturing; Manufacturing service reconfiguration; Reconfiguration optimization; Hybrid bees algorithm;
机译:结合人工蜂群和布谷鸟搜索算法的混合方法实现多目标云制造服务组合
机译:多目标混合人造蜂殖民地群体增强了L,VY飞行和自适应云制造服务组成
机译:基于动态人工蚁群殖民地群体农业设备制造的云服务优化方法
机译:使用云制造中的混合蜜蜂算法制造服务重新配置优化
机译:基于添加的拓扑优化和可制造性算法的设计
机译:基于Bees算法的多用户制造资源服务组合方法
机译:云制造中相关感知服务聚合优化的改进离散蜜蜂算法
机译:设计最优广义爬山算法及其在离散制造过程优化设计中的应用