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Analysis of evolutionary game in structural formation of market power in remanufacturing supply chains 期刊论文
APPLIED ECONOMICS, 2019, 卷号: 51, 期号: 20, 页码: 2195-2220
作者:  Shu, Tong;  Wang, Yongjian;  Chen, Shou;  Wang, Shouyang;  Lai, Kin Keung;  Yang, Yan
收藏  |  浏览/下载：210/0  |  提交时间：2019/03/11
Remanufacturing  willingness to pay  game theory  evolutionary stability strategy  
Exploring evolution and emerging trends in business model study: a co-citation analysis 期刊论文
SCIENTOMETRICS, 2017, 卷号: 111, 期号: 2, 页码: 869-887
作者:  Li, Xuerong;  Qiao, Han;  Wang, Shouyang
收藏  |  浏览/下载：102/0  |  提交时间：2018/07/30
Business model  Evolution  Co-citation network  Cluster analysis  
Regional technical efficiency of Chinese Iron and steel industry based on bootstrap network data envelopment analysis 期刊论文
SOCIO-ECONOMIC PLANNING SCIENCES, 2017, 卷号: 57, 页码: 14-24
作者:  Yang, Wei;  Shi, Jinfeng;  Qiao, Han;  Shao, Yanmin;  Wang, Shouyang
收藏  |  浏览/下载：117/0  |  提交时间：2018/07/30
Technical efficiency  Network DEA  Bootstrap  Convergence  
Heterogeneity, nonlinearity and endogenous market volatility 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2011, 卷号: 24, 期号: 6, 页码: 1130-1142
作者:  Li, Hongquan;  Wang, Shouyang;  Shang, Wei
收藏  |  浏览/下载：121/0  |  提交时间：2018/07/30
Computational finance  endogenous volatility  heterogeneous agents  noisy chaos  nonlinearity  stylized facts  
A unified framework for population-based metaheuristics 期刊论文
ANNALS OF OPERATIONS RESEARCH, 2011, 卷号: 186, 期号: 1, 页码: 231-262
作者:  Liu, Bo;  Wang, Ling;  Liu, Ying;  Wang, Shouyang
收藏  |  浏览/下载：95/0  |  提交时间：2018/07/30
Metaheuristics  Unified framework  Population-based metaheuristics  Memetic Algorithms  Convergence analysis  Evolutionary computing  
Evolving Least Squares Support Vector Machines for Stock Market Trend Mining 期刊论文
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2009, 卷号: 13, 期号: 1, 页码: 87-102
作者:  Yu, Lean;  Chen, Huanhuan;  Wang, Shouyang;  Lai, Kin Keung
收藏  |  浏览/下载：102/0  |  提交时间：2018/07/30
Artificial neural networks (ANNs)  evolutionary algorithms (EAs)  feature selection  genetic algorithm (GA)  least squares support vector machine (LSSVM)  mixed kernel  parameter optimization  statistical models  stock market trend mining  
Selecting valuable stock using genetic algorithm 期刊论文
SIMULATED EVOLUTION AND LEARNING, PROCEEDINGS, 2006, 卷号: 4247, 页码: 688-694
作者:  Zhou, Chengxiong;  Yu, Lean;  Huang, Tao;  Wang, Shouyang;  Lai, Kin Keung
收藏  |  浏览/下载：111/0  |  提交时间：2018/07/30