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2010

Refereed Journal Papers

  1. Z. Wang, K. Tang and X. Yao: "A Memetic Algorithm for Multi-level Redundancy Allocation," IEEE Transactions on Reliability, 59(4): 754-765, December 2010.
  2. Z. Wang, K. Tang and X. Yao: "Multi-objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems," IEEE Transactions on Reliability, 59(3): 563-575, September 2010.
  3. F. Peng, K. Tang, G. Chen and X. Yao, “Population-based Algorithm Portfolios for Numerical Optimization,” IEEE Transactions on Evolutionary Computation, 14(5): 782-800, October 2010.
  4. T. Chen, K. Tang, G. Chen and X. Yao: "Analysis of Computational Time of Simple Estimation of Distribution Algorithms", IEEE Transactions on Evolutionary Computation, 14(1): 1-22, February 2010. Available as a PDF here.
  5. Y. Wang, B. Li, and T. Weise: "Estimation of Distribution and Differential Evolution Cooperation for Large-Scale Economic Load Dispatch Optimization of Power Systems," Information Sciences, 180(12):2405-2420, February 2010. Available as a PDF here.
  6. T. Chen, J. He, G. Chen and X. Yao: "Choosing Selection Pressure for Wide-gap Problems", Theoretical Computer Science, 411(6):926-934, February 2010. Available as a PDF here.
  7. Huanhuan Chen, Xin Yao. "Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning." IEEE Transactions Knowledge Data Engineering , 22(12): 1738-1751 (2010). [download]

Refereed Papers in Conference Proceedings

  1. W. Chen, T. Weise, Z. Yang and K. Tang, “Large-Scale Global Optimization using Cooperative Coevolution with Variable Interaction Learning,” in Proceedings of the11th International Conference on Parallel Problem Solving From Nature (PPSN), Lecture Notes in Computer Science, Volume 6239, Part II, Springer-Verlag, Berlin, September 2010, pp. 300-309.
  2. X. Fan and K. Tang: “Enhanced Maximum AUC Linear Classifier,” in Proceedings of The 7th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD2010), Yantai, China, 10-12 August 2010, vol. 4, pp. 1540-1544.
  3. X. Lu, K. Tang and X. Yao: "Evolving Neural Networks with Maximum AUC for Imbalanced Data Classification,"inProceedings of the 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS2010), San Sebastián, Spain, 23-25 June 2010, pp. 335-342.
  4. X. Yu, Y. Jin, K. Tang and X. Yao: "Robust Optimization over Time - A New Perspective on Dynamic Optimization Problems," in Proceedings of the 2010 IEEE Congress on Evolutionary Computation (CEC2010), Barcelona, Spain, 18-23 July 2010, pp. 3998-4003.
  5. Y. Mei, K. Tang and X. Yao: "Capacitated Arc Routing Problem in Uncertain Environments,"in Proceedings ofthe 2010 IEEE Congress on Evolutionary Computation (CEC2010), Barcelona, Spain, 18-23 July 2010, pp. 1400-1407.
  6. H. Fu, Y. Mei, K. Tang and Y. Zhu: "Memetic Algorithm with Heuristic Candidate List Strategy for Capacitated Arc Routing Problem," in Proceedings of the 2010 IEEE Congress on Evolutionary Computation (CEC2010), Barcelona, Spain, 18-23 July 2010, pp. 3229-3236.
  7. Y. Wang, B. Widrow, B. Zhang, W. Kinsner, K. Sugawara, F. Sun, T. Weise, Y. Zhong and D. Zhang: "Perspectives on Cognitive Informatics and Its Future Development," in Proceedings ofThe9th IEEE International Conference on Cognitive Informatics (ICCI 2010), China, 7-9th July 2010, pp. 17-25.
  8. P. Wang,E. P. K. Tsang, T. Weise, K. Tang andX. Yao: "Using GP to Evolve Decision Rules for Classification in Financial Data Sets," in Proceedings ofThe9th IEEE International Conference on Cognitive Informatics (ICCI 2010), China, 7-9th, July 2010, pp. 722-727.
  9. T. Weise and R. Chiong: "Evolutionary Data Mining Approaches for Rule-based and Tree-based Classifiers," in Proceedings of The9th IEEE International Conference on Cognitive Informatics (ICCI 2010), China, 7-9th July 2010, pp. 696-703.
  10. T. Weise, L. Niu and K. Tang: "AOAB – Automated Optimization Algorithm Benchmarking," in Proceedings of The 2010Genetic and Evolutionary Computation Conference (GECCO-2010), 7-11th July 2010, USA, pp. 1479-1486. Available as a PDF here.

Book Chapters

  1. T. Weise, A. Podlich and C. Gorldt, "Solving Real-World Vehicle Routing Problems with Evolutionary Algorithms", in Natural Intelligence for Scheduling, Planning and Packing Problems, Chiong, Raymond and Dhakal, Sandeep (Eds), vol. 250 of Studies in Computational Intelligence (SCI), ISBN: 978-3-642-04038-2, 2010. Available as a PDF here.
  2. T. Weise and R. Chiong, "Evolutionary Approaches and their Applications to Distributed Systems", inIntelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications, Chiong, Raymond (Ed), chapter 6, pp. 114-149. IGI Global, ISBN: 978-1-60566-798-0, 2010.
  3. Huanhuan Chen, Anthony G. Cohn: Buried Utility Pipeline Mapping based on Street Survey and Ground Penetrating Radar. In Proceedings of the 19th European Conference on Artificial Intelligence (ECAI'10) 2010:987-988, Lisbon, Portugal, 2010. [download]
  4. Huanhuan Chen, and Anthony G. Cohn. "Probabilistic conic mixture model and its applications to mining spatial ground penetrating radar data." In Workshop in SIAM Conference on Data Mining (WSDM'10), Columbus, 2010. [download]
  5. Huanhuan Chen, Anthony G. Cohn. "Probabilistic robust hyperbola mixture model for interpreting ground penetrating radar data." In Proceedings of the 2010 IEEE World Congress on Computational intelligence (WCCI'10), Barcelona, 2010. [download]
  6. Shuo Wang, Huanhuan Chen, Xin Yao. "Negative correlation learning for classification ensembles." In Proeedings of the 2010 International Joint Conference on Neural Networks (IJCNN,10), Barcelona, 2010. [download]