Stability assessment of rubble-mound breakwaters using genetic programming

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@Article{Koc:2016:OE,

• author = "Mehmet Levent Koc and Can Elmar Balas and Dilek Imren Koc",
• title = "Stability assessment of rubble-mound breakwaters using genetic programming",
• journal = "Ocean Engineering",
• volume = "111",
• pages = "8--12",
• year = "2016",
• ISSN = "0029-8018",
• DOI = "doi:10.1016/j.oceaneng.2015.10.058",
• URL = "http://www.sciencedirect.com/science/article/pii/S0029801815006058",
• abstract = "This study investigates the possibility of applying genetic programming to the stability assessment of rubble-mound breakwaters. The genetic programming algorithm is employed to develop various explicit models to predict the stability number of armor blocks. The genetic programming models are trained and tested using the experimental data of Van Der Meer (1988). The results show that the genetic programming based models have better predictive performances than Van der Meer times's stability equations, and that genetic programming has good potential for solving complex problems in the field of coastal engineering.",
• keywords = "genetic algorithms, genetic programming, Artificial intelligence, Rubble-mound breakwaters, Stability assessment, Stability number",

}

Genetic Programming entries for Mehmet Levent Koc Can Elmar Balas Dilek Imren Koc

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