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Study on Methods of Delamination-Parallel Genetic Chaos of Synthetically Optimizing Mechanics Properties for Ships

机译:船舶合成优化力学性能分层平行遗传混沌方法研究

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In this paper, a mathematical model of synthetically optimizing mechanics properties for ships is constructed. Basing on delamination, parallel algorithm, genetic algorithm (GA) and chaos algorithm, then a delamination-parallel genetic chaos algorithm basing on delicate variables' segments is advanced. This complex algorithm is programmed by VC++ into software which has a user-friendly graphical interface of good interactivity and applied to solving that mathematical model of synthetically optimizing mechanics properties for ships. Quantities of computation results of different solving methods show that compared with other methods such as GA, chaos algorithm and their parallel algorithms, this complex algorithm can overcome GA's premature convergence and is reliable and efficient so that it lays a solid foundation for form optimization and design evaluation of ships.
机译:本文建立了船舶合成优化力学性质的数学模型。基于分层,并行算法,遗传算法(GA)和混沌算法,然后在精细变量的段上进行分层平行的遗传混沌算法。这种复杂的算法由VC ++编程为具有良好交互性的用户友好的图形界面,并应用于求解船舶综合优化力学性质的数学模型。不同求解方法的计算结果表明,与其他方法(如GA,混沌算法及其并行算法)相比,这种复杂的算法可以克服GA的过早收敛,并且可靠而有效,使其为表格优化和设计奠定了坚实的基础评估船只。

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