TY - GEN

T1 - Optimum grillage structure design under a worst point load using real-coded micro-genetic algorithm

AU - Kim, Y.

AU - Gotoh, K.

AU - Kim, K. S.

AU - Toyosada, M.

PY - 2005

Y1 - 2005

N2 - The optimum grillage design belongs to nonlinear constrained optimization problem. The determination of beam scantlings for the grillage structure is a very crucial matter out of whole structural design process. The performance of optimization methods, based on penalty functions, is highly problem-dependent and many methods require additional tuning of some variables. This additional tuning is the influences of penalty coefficient, which depend strongly on the degree of constraint violation. Moreover, Binary-coded Genetic Algorithm (BGA) meets certain difficulties when dealing with continuous and/or discrete search spaces with large dimensions. With the above reasons, Real-coded Micro-Genetic Algorithm (RμGA) is proposed to find the optimum beam scantlings of the grillage structure without handling any of penalty functions. RμGA can help in avoiding the premature convergence and search for global solution-spaces, because of its wide spread applicability, global perspective and inherent parallelism. Direct stiffness method is used as a numerical tool for the grillage analysis. In optimization study to find minimum weight, sensitivity study is carried out with varying beam configurations. From the simulation results, it has been concluded that the proposed RμGA is an effective optimization tool for solving continuous and/or discrete nonlinear real-world optimization problems.

AB - The optimum grillage design belongs to nonlinear constrained optimization problem. The determination of beam scantlings for the grillage structure is a very crucial matter out of whole structural design process. The performance of optimization methods, based on penalty functions, is highly problem-dependent and many methods require additional tuning of some variables. This additional tuning is the influences of penalty coefficient, which depend strongly on the degree of constraint violation. Moreover, Binary-coded Genetic Algorithm (BGA) meets certain difficulties when dealing with continuous and/or discrete search spaces with large dimensions. With the above reasons, Real-coded Micro-Genetic Algorithm (RμGA) is proposed to find the optimum beam scantlings of the grillage structure without handling any of penalty functions. RμGA can help in avoiding the premature convergence and search for global solution-spaces, because of its wide spread applicability, global perspective and inherent parallelism. Direct stiffness method is used as a numerical tool for the grillage analysis. In optimization study to find minimum weight, sensitivity study is carried out with varying beam configurations. From the simulation results, it has been concluded that the proposed RμGA is an effective optimization tool for solving continuous and/or discrete nonlinear real-world optimization problems.

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M3 - Conference contribution

AN - SCOPUS:33646713713

SN - 1880653648

SN - 9781880653647

T3 - Proceedings of the International Offshore and Polar Engineering Conference

SP - 730

EP - 736

BT - Proceedings of the International Offshore and Polar Engineering Conference

T2 - 15th International Offrshore and Polar Engineering Conference, ISOPE-2005

Y2 - 19 June 2005 through 24 June 2005

ER -