Application of Genetic Algorithm for Optimum Hydrodynamic Performance of Twin Pontoon Floating Breakwater
Publication: Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 146, Issue 2
Abstract
The lateral separation ratio () between the twin pontoons of a floating breakwater (TPFB) is one of the prominent factors that attenuate wave energy transmission and reflection. In fact, a numerical investigation of optimum TPFB is inevitably required. To accommodate such a requirement, a numerical optimization model of a genetic algorithm (GA) was developed to assess the optimum primarily through minimizing wave transmission () and reflection coefficients () while maximizing the energy dissipation coefficient (). Several parameters, such as wavelengths and ratios including a set of optimization criteria, were taken into account in the simulation, where the optimum solution was then selected from various populations. In addition to the current GA simulation, the optimum was evaluated and quantified by the values of , , and , in which the reduction of some flow parameters was visualized via computational fluid dynamics. The results revealed that the GA simulation is effectively capable of determining global trade-offs between , , and . As compared with the existing model, and decreased to less than 0.3 and 0.4, respectively, whereas increased up to 0.9, resulting in optimum TPFB hydrodynamic performance. Hence, the elaboration of this optimization algorithm can serve as a conceptual design to find an optimum for the twin pontoons of a floating breakwater.
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Data Availability Statement
The Matlab code (multiobjective genetic algorithm) generated during the study is available from the corresponding author by request.
Acknowledgments
The authors would like to thank and express their great appreciation to Universiti Malaysia Terengganu for its support in the completion of this research.
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©2019 American Society of Civil Engineers.
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Received: Nov 9, 2018
Accepted: Jun 25, 2019
Published online: Dec 5, 2019
Published in print: Mar 1, 2020
Discussion open until: May 5, 2020
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