摘要
建立吃水受限的内河大型船舶航行性能综合优化的数学模型,又基于并行算法和遗传算法思想,构造了一种分层并行遗传算法,对于吃水受限的内河大型船舶航行性能综合优化问题进行了一般遗传算法、并行遗传算法和两层及三层并行遗传算法的大量优化计算,结果表明,该分层并行遗传算法计算可靠、效率高,为设计综合性能优良的内河船船型准备了良好的基础条件。
A synthetic optimization model of navigational performances for the large-sized draft-limited inland ships is set up and a multiple-step parallel genetic algorithm is constructed. Numerical results of synthetic optimization of navigational performances for the large-sized draft-limited inland ships with optimization of the general genetic algorithm and the parallel genetic algorithm show that the latter is reliable and effective which provides fine support to the design of inland ship form with excellent synthetic performances.
出处
《船海工程》
北大核心
2006年第1期8-11,共4页
Ship & Ocean Engineering
基金
国防科工委基础科研计划项目(L0500E002)
关键词
内河船舶
航行性能
综合优化
分层并行遗传算法
inland ship navigation performance synthetic optimization multiple-step parallel genetic algorithm
