Frontiers of Computer Science in China, Volume 3

Volume 3, Number 1, March 2009

• Ke Tang, Xin Yao:
  From nature to computing and back. 1-3
  
• Yaochu Jin, Robin Gruna, Bernhard Sendhoff:
  Pareto analysis of evolutionary and learning systems. 4-17
  
• Carlos A. Coello Coello:
  Evolutionary multi-objective optimization: some current research trends and topics that remain to be explored. 18-30
  
• Yuhui Shi, Russell C. Eberhart:
  Monitoring of particle swarm optimization. 31-37
  
• Yong Wang, Zixing Cai:
  A hybrid multi-swarm particle swarm optimization to solve constrained optimization problems. 38-52
  
• Edward P. K. Tsang:
  Forecasting - where computational intelligence meets the stock market. 53-63
  
• Per Kristian Lehre, Xin Yao:
  Runtime analysis of search heuristics on software engineering problems. 64-72
  
• Hanyang Quek, Chunghoong Woo, Kay Chen Tan, Arthur Tay:
  Evolving Nash-optimal poker strategies using evolutionary computation. 73-91
  
• Jialiang Wu, Eberhard Voit:
  Integrative biological systems modeling: challenges and opportunities. 92-100
  
• Maryjane Tremayne, Samantha Y. Chong, Duncan Bell:
  Optimisation of algorithm control parameters in cultural differential evolution applied to molecular crystallography. 101-108
  
• Bao-Liang Lu, Xiaolin Wang, Masao Utiyama:
  Incorporating prior knowledge into learning by dividing training data. 109-122
  
• Takashi Maruyama, Eisuke Kita:
  Evolutionary algorithm based on schemata theory. 123-129
  
• Wanwei Liu, Ji Wang, Huowang Chen, Xiaodong Ma, Zhaofei Wang:
  Symbolic model checking APSL. 130-141
  

Volume 3, Number 2, June 2009

• Shuo Bai, Shouyang Wang, Lean Yu, Aoying Zhou:
  Financial information processing. 143-144
  
• Di Wu, Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Qi Pan:
  Stock prediction: an event-driven approach based on bursty keywords. 145-157
  
• Serge Hayward:
  Risk aversion and agents' survivability in a financial market. 158-166
  
• Lean Yu, Shouyang Wang, Kin Keung Lai:
  Forecasting foreign exchange rates with an improved back-propagation learning algorithm with adaptive smoothing momentum terms. 167-176
  
• Heping Pan, Imad Haidar, Siddhivinayak Kulkarni:
  Daily prediction of short-term trends of crude oil prices using neural networks exploiting multimarket dynamics. 177-191
  
• Dongling Zhang, Yong Shi, Yingjie Tian, Meihong Zhu:
  A class of classification and regression methods by multiobjective programming. 192-204
  
• Ligang Zhou, Kin Keung Lai:
  Benchmarking binary classification models on data sets with different degrees of imbalance. 205-216
  
• Dabin Zhang, Lean Yu, Shouyang Wang, Yingwen Song:
  A novel PPGA-based clustering analysis method for business cycle indicator selection. 217-225
  
• Guihuan Zheng, Xun Zhang, Wei Shang, Shanying Xu:
  Macro finance early warning system. 226-234
  
• Feng Wang, Keren Dong, Xiaotie Deng:
  Algorithmic trading system: design and applications. 235-246
  
• Mingxin Yuan, Sunan Wang, Canyang Wu, Kunpeng Li:
  APF-guided adaptive immune network algorithm for robot path planning. 247-255
  
• Yongzhao Li, Leonard J. Cimini Jr., Nageen Himayat:
  Outage analysis of interference-limited systems using STBC with co-channel MIMO interferers. 256-262
  
• Behrouz Maham, Mérouane Debbah, Are Hjørungnes:
  Energy-efficient cooperative routing in BER constrained multishop networks. 263-271