A New Multiobjective Genetic Programming for Extraction of Design Information from Non-dominated Solutions

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{conf/emo/TatsukawaNOF13,

• author = "Tomoaki Tatsukawa and Taku Nonomura and Akira Oyama and Kozo Fujii",
• title = "A New Multiobjective Genetic Programming for Extraction of Design Information from Non-dominated Solutions",
• bibdate = "2013-03-13",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/emo/emo2013.html#TatsukawaNOF13",
• booktitle = "Evolutionary Multi-Criterion Optimization - 7th International Conference, {EMO} 2013, Sheffield, {UK}, March 19-22, 2013. Proceedings",
• publisher = "Springer",
• year = "2013",
• volume = "7811",
• editor = "Robin C. Purshouse and Peter J. Fleming and Carlos M. Fonseca and Salvatore Greco and Jane Shaw",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-642-37139-4",
• pages = "528--542",
• series = "Lecture Notes in Computer Science",
• URL = "http://dx.doi.org/10.1007/978-3-642-37140-0",
• DOI = "doi:10.1007/978-3-642-37140-0_40",
• abstract = "We propose a new type of multi-objective genetic programming (MOGP) for multi-objective design exploration (MODE). The characteristic of the new MOGP is the simultaneous symbolic regression to multiple objective functions using correlation coefficients. This methodology is applied to non-dominated solutions of the multi-objective design optimisation problem to extract information between objective functions and design parameters. The result of MOGP is symbolic equations that are highly correlated to each objective function through a single GP run. These equations are also highly correlated to several objective functions. The results indicate that the proposed MOGP is capable of finding new design parameters more closely related to the objective functions than the original design parameters. The proposed MOGP is applied to the test problem and the practical design problem to evaluate the capability.",

}

Genetic Programming entries for Tomoaki Tatsukawa Taku Nonomura Akira Oyama Kozo Fujii

Citations