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改进的遗传算法在游艇舱室布局优化设计中的应用
Application of Improved Genetic Algorithms in the Optimization Design of Yacht Cabin’s Layout
【摘要】 针对游艇舱室布局这一复杂的多目标问题,在探讨遗传算法基本原理的基础上,提出以基于Pareto前沿的多目标优化方法NSGA-Ⅱ进行求解,然后分析游艇舱室布局的数学优化模型,并用NSGA-Ⅱ算法对其进行优化计算,并用实例进行验证。结果表明,这种算法确实有效,并得到一系列满足要求的最优解。
【Abstract】 Based on the basic principles of genetic algorithm(GA),a multi-objective optimization method(NSGA-Ⅱ) was presented to solve the comprehensive problem of yacht cabin’s layout.Then the layout optimization mathematical model was analyzed to give the optimized layout by using NSGA-Ⅱ.The method was proved to be effective by some practical examples.
【关键词】 游艇舱室;
多目标优化;
Pareto;
NSGA-Ⅱ;
【Key words】 yacht’cabin; multi-objective optimization; pareto; NSGA-Ⅱ;
【Key words】 yacht’cabin; multi-objective optimization; pareto; NSGA-Ⅱ;
- 【文献出处】 船海工程 ,Ship & Ocean Engineering , 编辑部邮箱 ,2010年01期
- 【分类号】TP18
- 【被引频次】31
- 【下载频次】277