Predicting the Tide with Genetic Programming and Semantic-Based Crossovers

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

@InProceedings{q.u.nguyen_etal:kse2010,

• author = "Nguyen Quang Uy and Michael O'Neill and Nguyen Xuan Hoai",
• title = "Predicting the Tide with Genetic Programming and Semantic-Based Crossovers",
• booktitle = "KSE 2010 The Second International Conference on Knowledge and Systems Engineering",
• year = "2010",
• address = "Hanoi, Vietname",
• month = "7-9 " # oct,
• organization = "IEEE Computer Society",
• publisher = "IEEE Press",
• editor = "The Long Pham and Ngoc Binh Nguyen",
• pages = "89--95",
• keywords = "genetic algorithms, genetic programming, Italy, MSSC, Venice Lagoon, most semantic similarity-based crossover, standard crossover, time series, validation sets, programming language semantics, set theory, time series",
• DOI = "doi:10.1109/KSE.2010.7",
• size = "7 pages",
• abstract = "This paper proposes an improvement of a recently proposed semantic-based crossover, Semantic Similarity-based Crossover (SSC)[27]. The new crossover, called the Most Semantic Similarity-based Crossover (MSSC), is tested with Genetic Programming (GP) on a real world problem, as in predicting the tide in Venice Lagoon, Italy. The results are compared with GP using Standard Crossover (SC) and GP using validation sets. The comparative results show that while using validation sets give only limited effect, using semantic-based crossovers, especially MSSC, remarkably improve the ability of GP to predict time series for the tested problem. Further analysis on GP code bloat helps to explain the reason behind this superiority of MSSC.",
• notes = "http://www.coltech.vnu.edu.vn/kse2010/ Also known as \cite{5632145}",

}

Genetic Programming entries for Quang Uy Nguyen Michael O'Neill Nguyen Xuan Hoai

Citations