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An upper bound on the minimal total cost of the transportation problem with varying demands and supplies 期刊论文
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2017, 卷号: 68, 页码: 105-118
Authors:  Xie, Fanrong;  Butt, Muhammad Munir;  Li, Zuoan;  Zhu, Linzhi
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Genetic algorithms  Transportation problem  Transportation problem with varying demands and supplies  Bounds on the minimal total cost  Upper bound on the minimal total cost  
Forecasting container throughput of Qingdao port with a hybrid model 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2015, 卷号: 28, 期号: 1, 页码: 105-121
Authors:  Huang Anqiang;  Lai Kinkeung;  Li Yinhua;  Wang Shouyang
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PROJECTION PURSUIT REGRESSION  WAVELET-BASED DETECTION  FINANCIAL TIME-SERIES  OUTLIER DETECTION  GENETIC ALGORITHMS  NOVELTY DETECTION  NEURAL-NETWORKS  PREDICTION  Container throughput forecast  genetic programming algorithm  outlier processing  projection pursuit regression  
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
Authors:  Yu, Lean;  Chen, Huanhuan;  Wang, Shouyang;  Lai, Kin Keung
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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  
Futures price modeling under exchange rate volatility and its multi-period semi-variance portfolio selection 期刊论文
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2009, 卷号: 40, 期号: 11, 页码: 1139-1148
Authors:  Yan, Wei;  Li, Shurong
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four-factor model  multi-period semi-variance portfolio  exchange rate  futures  hybrid GA with PSO  economic systems  finance  partial differential equations  genetic algorithms  
Simple feedback logic, genetic algorithms and artificial neural networks for real-time control of a collection system 期刊论文
WATER SCIENCE AND TECHNOLOGY, 1998, 卷号: 38, 期号: 3, 页码: 187-195
Authors:  Hajda, P;  Novotny, V;  Feng, X;  Yang, RL
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artificial neural networks  combined sewer overflows  genetic algorithms  real-time control