UM  > 科技學院  > 電機及電腦工程系
Team Progress Algorithm and its Applications
Tang Y.1,2,3; Bo Y.1; Zhu L.1,2; Zhang M.1; Chang Y.1,3; Ran Y.1
Conference Name2018 International Conference on Microwave and Millimeter Wave Technology (ICMMT)
Source Publication2018 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2018 - Proceedings
Conference Date7-11 May 2018
Conference PlaceChengdu, China

Many popular engineering problems, regarded as optimization problems, can be successfully solved with intelligent optimization algorithms, one of which is named Team Progress Algorithm (TPA). It is a novel kind of two-group evolutionary algorithm that simulates a team upgrading process with member learning, exploring and renewal, possessing the abilities of global, local and directional search. The intrinsic mechanism of TPA makes itself highly competitive in solving optimization problems. This paper mainly focuses on the development and improvement of TPA, including the original procedure, several perfection researches and their applications in microwave component and antenna designs. The numerical results and design examples in available literatures well verify the accuracy, efficiency and feasibility of TPA in the engineering optimizations of all kinds.

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Document TypeConference paper
Affiliation1.National and Local Joint Engineering Laboratory of RF Integration and Micro-Assembly Technology, Nanjing University of Posts & Telecommunications, Nanjing, Jiangsu, P.R. China
2.Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, China
3.State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, Jiangsu, P.R. China
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Tang Y.,Bo Y.,Zhu L.,et al. Team Progress Algorithm and its Applications[C],2018.
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