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浏览/检索结果: 共10条，第1-10条 帮助 限定条件 发表日期：2017    内容类型：期刊论文    专题：湖南大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Operating Point Optimization of Auxiliary Power Unit Using Adaptive Multi-Objective Differential Evolution Algorithm 期刊论文 IEEE Transactions on Industrial Electronics, 2017, 卷号: Vol.64 No.1, 页码: 115-124 作者:  Shen, Y.;  Wang, Y. 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/31 Adaptive  multi-objective  differential  evolution  (AMODE)  algorithm  auxiliary  power  unit  (APU)  series  hybrid  electrical  vehicles  (SHEVs)   Modeling and Simulation of Power Communication Networking Based on Quality of Service 期刊论文 Journal of System Simulation, 2017, 卷号: Vol.29 No.7, 页码: 1605-1610 作者:  Zhang Xueyi;  Gu Juhui;  Zhou Meiqin 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/31 power  communication network  quality of service  hybrid ant colony and genetic algorithm  simulation   An evolutionary extreme learning machine based on chemical reaction optimization 期刊论文 Journal of Information and Optimization Sciences, 2017, 卷号: Vol.38 No.8, 页码: 1265-1290 作者:  Thuy Van Tran;  Yao Nan Wang 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/31 Extreme  learning  machine  (ELM)  Chemical  reaction  optimization  (CRO)  Single-hidden-layer  feedforward  neural  network  (SLFN)  Hybrid  learning  algorithm  classification   Modeling and Optimization of a CoolingTower-Assisted Heat Pump System 期刊论文 Energies, 2017, 卷号: Vol.10 No.5 作者:  Xiaoqing Wei;  Nianping Li;  Jinqing Peng;  Jianlin Cheng;  Jinhua Hu and Meng Wang 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/31 cooling  tower-assisted  heat  pump  theoretical  and  empirical  models  energy  saving  hybrid  optimization  algorithm   EBCRO: Hybrid Chemical Reaction with Employed Bee Operator 期刊论文 2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2017, 页码: 192-200 作者:  Li, Zhiyong;  Yuan, Tingkun;  Yang, Bo;  Jiang, Shilong;  Xie, Yanmei 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/31 hybrid algorithm  chemical reaction optimization  employed bee operator  numerical function optimization   STUDY ON OPTIMIZATION OF LARGE-SCALE STRUCTURAL DECENTRALIZED CONTROL 期刊论文 Engineering Mechanics, 2017, 卷号: Vol.34 No.1, 页码: 154-162 作者:  Pan, Zhao-Dong;  Tan, Ping;  Zhou, Fu-Lin 收藏  |  浏览/下载：1/0  |  提交时间：2019/12/31 fully decentralized control  partially independent decentralized control  partially overlapping decentralized control  PSO-DE hybrid algorithm  optimization   Multi-objective Optimization of Structural Active Control System Using a New Hybrid Swarm Algorithm 期刊论文 Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2017, 卷号: Vol.44 No.5, 页码: 20-26 作者:  Pan, Z.;  Tan, P.;  Zhou, F. 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/31 Active control  Dealer principle  Geometric center leader selection  Hybrid swarm algorithm  Multi-objective optimization  Two level search   Operating Point Optimization of Auxiliary Power Unit Using Adaptive Multi-Objective Differential Evolution Algorithm. 期刊论文 IEEE Transactions on Industrial Electronics, 2017, 卷号: Vol.64 No.1, 页码: 115-124 作者:  Shen, YP;  Wang, YN 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/31 Adaptive multi-objective differential evolution (AMODE) algorithm  auxiliary power unit (APU)  Engines  Fuels  Generators  Iron  Optimization  series hybrid electrical vehicles (SHEVs)  Torque  Vehicles   Using differential evolution strategies in chemical reaction optimization for global numerical optimization 期刊论文 Applied Intelligence, 2017, 卷号: Vol.47 No.3, 页码: 935-961 作者:  Nouioua, Mourad;  Li, Zhiyong 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/31 Global numerical optimization  Metaheuristics  Hybrid algorithm  Chemical reaction optimization  Differential evolution   Multi-objective Optimization of Structural Active Control System Using a New Hybrid Swarm Algorithm 期刊论文 Journal of Hunan University. Natural Sciences, 2017, 卷号: Vol.44 No.5, 页码: 20-26 作者:  Pan Zhaodong;  Tan Ping;  Zhou Fulin 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/31 active control  hybrid swarm algorithm  two level search  multi-objective optimization  dealer principle  geometric center leader selection