【摘要】 在船舶初步设计中,船体主尺度的选择将影响船舶寿命期内的使用性和经济性,问题的研究可归结为多目标非线性规则.在探讨遗传算法(GA)机理的基础上,提出了新的优化设计方法——遗传进化算法(GEA),解决了GA中品质计算模块的重复调用和子代品质波动的问题,提高了优化算法中寻求全局最优解的效率.文中将GEA应用于23.6万t巨型油船的主尺度优选,同时给出应用正交优化设计方法的优化结果.应用结果表明:GEA是一种高效的全局优化算法,具有获得多个次优解的能力,是船舶初步设计的一种有效的工程优化设计方法更多还原

【Abstract】 In the ship preliminary design, the principal dimensions will affect the economics and usage of ship in its life. These problems will be solved by multi objects nonlinear program. Based on studying genetic algorithm(GA), a new optimum design method, genetic evaluative algorithm (GEA), was formed. The problem of repeated the heritage evaluative calculation and waved the quality of son generation in GA was solved. GEA can promote the efficiency of optimization algorithm. In this paper, GEA was used for the optimization of the principal dimensions of 236 000 DWT VLCC and the optimum results of orthogonal design method were given too. The results show that GEA has a strong ability to find the optimum solutions on global. Some sub optimum solutions that can help user to select the best plan can also be gotten by GEA. GEA is an efficient and qualified engineering optimum design method in ship preliminary design.更多还原