Point-tree structure genetic programming method for discontinuous function's regression

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@Article{Xiong:2003:WUJNS,

• author = "Sheng-wu Xiong and Wei-wu Wang",
• title = "Point-tree structure genetic programming method for discontinuous function's regression",
• journal = "Wuhan University Journal of Natural Sciences",
• year = "2003",
• volume = "8",
• number = "1",
• pages = "323--326",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://link.springer.com/article/10.1007/BF02899503",
• DOI = "doi:10.1007/BF02899503",
• size = "4 pages",
• abstract = "A new point-tree data structure genetic programming (PTGP) method is proposed. For the discontinuous function regression problem, the proposed method is able to identify both the function structure and discontinuities points simultaneously. It is also easy to be used to solve the continuous function regression problems. The numerical experiment results demonstrate that the point-tree GP is an efficient alternative way to the complex function identification problems.",
• notes = "School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, Hubei, China",

}

Genetic Programming entries for Shengwu Xiong Weiwu Wang

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