Optimum Design of Artificial Reefs Using Genetic Algorithms

摘要

A design optimization procedure for MCC(multi-cell cube)-type artificial reefs is developed using genetic algorithm. Genetic Algorithms are known as heuristic search algorithms and are effective global search methods for discrete optimization. The design variables are the height and width of a reef, the thickness of columns and bars, and the number of the reefs to be settled in the area. The objective function is the total weight of the unit reef. The constraints related to the function of the reefs are the setting area, total enclosed volume of reefs, clear distance between the reefs; and the constraints related to the stability are sliding, overturning, bending moment, shear forces, and axial forces. From the study, it is shown that a design optimization procedure for MCC-type artificial reefs is effective and the proposed MCC-type artificial reefs are suitable for the composition of reef set.