Optimization of Corrugated Bulkhead Forms By Genetic Algorithm

Abstract

In this research, the optimal design of corrugated bulkheads being used in ship structures is explored by means of the state-of-theart genetic algorithms. The influences of genetic parameters, such as population sizes, crossover probability and mutation probability, on the optimal design of corrugated bulkheads are carefully examined. An objective function defined for the cost of materials and labors is to be minimized to attain the least cost of panel production. The obtained optimal values of each design variable must satisfy the predescribed constraints and some restrictions on fabrication. The optimal values of minimum weight and minimum cost of a panel production are obtained. Finally, a comparison between the method of genetic algorithm and the sequential linear programming optimization algorithm is made to demonstrate the superiority of the proposed genetic algorithms. The numerical simulation results reveal that the genetic algorithms can efficiently minimize panels’ weight and costs in production.