Zobrazeno 1 - 9 of 9 pro vyhledávání: '"Qinhong Fu"'
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Akademický článek
Observer‐based integral sliding mode control for uncertain neutral semi‐Markovian jumping systems with time‐varying delays
Autor: Qinhong Fu, Lianglin Xiong, Haiyang Zhang, Kaibo Shi
Publikováno v: IET Control Theory & Applications, Vol 17, Iss 9, Pp 1144-1166 (2023)
Abstract This article studies the observer‐based integral sliding mode control (ISMC) problem for continuously uncertain neutral semi‐Markovian jumping systems with time‐varying delays (TDs). Firstly, based on the designed state observer, an IS
Externí odkaz: https://doaj.org/article/d4f1bac4c5a648d0aa3d9b94a808ec06
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7
Application of Discrete Ant Colony Optimization in VRPTW
Autor: Qinhong Fu, Kang Zhou, Huaqing Qi, Tingfang Wu
Publikováno v: Bio-inspired Computing – Theories and Applications ISBN: 9789811036132
BIC-TA (2)
The classical ant colony algorithm for vehicle routing problem with time windows (VRPTW) has problems of low efficiency, slow convergence and prematurity. And the discrete ant colony optimization (DACO) is proposed for these problem. It adopts the on
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::70bef24286dc5ccc261861cefd809c55
https://doi.org/10.1007/978-981-10-3614-9_26
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8
Adaptive Neighborhood Search’s DGSO Applied to Travelling Saleman Problem
Autor: Kang Zhou, Qinhong Fu, Yingying Duan, Wenbo Dong
Publikováno v: Communications in Computer and Information Science ISBN: 9783662490136
BIC-TA
In order to further study the effectiveness and applicability of the glowworm swarm optimization algorithm, this paper proposed a discrete glowworm swarm optimization algorithm with an adaptive neighborhood search, and used it to solve traveling sale
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b1db8f17a03ee2b22bdcdbdd1dcec400
https://doi.org/10.1007/978-3-662-49014-3_12
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9
Improved Genetic Algorithm to Optimization Pattern in Traffic Network Layout Problem
Autor: Kang Zhou, Wenbo Dong, Yingying Duan, Qinhong Fu
Publikováno v: Communications in Computer and Information Science ISBN: 9783662490136
BIC-TA
The main core problem in optimization filed is to apply the optimization method devised by adopting a meta-heuristic algorithm to large-scale traffic network layout problem based on contribution center (TNLOSP). Improved Genetic Algorithm (IGA) is pr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d88f996ecc86d2182cc25f5473974da3
https://doi.org/10.1007/978-3-662-49014-3_13
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