Learning General Solutions through Multiple Evaluations during Development

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{DBLP:conf/ices/HoangMEN08,

• author = "Tuan Hao Hoang and R. I. (Bob) McKay and Daryl Essam and Nguyen Xuan Hoai",
• title = "Learning General Solutions through Multiple Evaluations during Development",
• booktitle = "Proceedings of the 8th International Conference Evolvable Systems: From Biology to Hardware, ICES 2008",
• year = "2008",
• editor = "Gregory Hornby and Luk{\'a}s Sekanina and Pauline C. Haddow",
• series = "Lecture Notes in Computer Science",
• volume = "5216",
• pages = "201--212",
• address = "Prague, Czech Republic",
• month = sep # " 21-24",
• publisher = "Springer",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• keywords = "genetic algorithms, genetic programming, Developmental Genetic Programming, Hyper-heuristics, Generalisation Overfitting, Parsimony",
• isbn13 = "978-3-540-85856-0",
• DOI = "doi:10.1007/978-3-540-85857-7_18",
• abstract = "In this paper, we investigate whether performing multiple evaluations during development, a technique we call Evolutionary Developmental Evaluation (EDE), could help developmental Genetic Programming (GP) evolve general solutions, solving not only the original (training) problem, but also unseen similar problems (with higher degrees of complexity). The hypothesis is tested on two families of regression problems, and the experimental results support the hypothesis.",

}

Genetic Programming entries for Tuan-Hao Hoang R I (Bob) McKay Daryl Essam Nguyen Xuan Hoai

Citations