Pareto optimization of grillage system with multi-objective
Many real-world design problems involve simultaneous optimization of multiple objectives.The considered grillage design is a multi-objective optimization problem,since there are two objective functions,namely,the volume design and the cost design.Thus,the solution of this optimization problem requires specialized method suitable for multi-objective problems.In this article,a multi-objective design optimization using real-coded genetic algorithm which is proposed for the Pareto-optimality of grillage system.The objective Cunctions in the optimization problem measure the desig sensitivities in grillage system.The nonlinear constrained multi-objective optimization is a very important from the point of view of practical problem solving.Therefore,the real-coded genetic algorithm with multiple genetic operators is proposed to find the optimum grillage system without handling any of penalty functions.Direct strength calculation defined from the class rules of DN V was applied for structural design of grillage system.The hybrid method (real-coded genetic algorithm including the non-dominated sorting and sharing approaches) performs a marvelous explorability in finding a diverse set of solutions and in converging near the true Pareto-optimal set.The results obtained are very encouraging,since they show that we can produce an important portion of the Pareto-front at a very low computational time frame.
grillage system Pareto-sets real-coded genetic algorithm multi-objective optimization direct strength calculation DNV rules
Yunyoung Kim Byeong-Il Kim Joo-Shin Park
Department of Naval Architecture&Ocean Engineering,Mokpo National Maritime University,KOREA Department of Naaal Architecture&Ocean Engineering,Mokpo National Maritime Uniaersity,KOREA Department of Naval Architecture&Ocean Engineering,Osaka University,JAPAN
国际会议
International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)
上海
英文
2008-06-29（万方平台首次上网日期，不代表论文的发表时间）