In this paper, a comprehensive optimization mathematical model of the planing-hydrofoil USV performance was established. A hierarchical parallel geneticcomplex algorithm is advanced basing on parallel strategy, genetic algorithm and complex algorithm and it is called H-PGA-C. The new algorithm for the optimization method study of performance of the planing-hydrofoil USV is very valuable. We use of VC++ into programming software. The calculation results of different solving methods show that compared with other methods such as H-P-GA-CA, H-P-C-GA, H-P-GA-C and parallel improved complex method, the paper also discussed the influence on total objective function、 two objective function and rapidity objective function caused by design variables such as the length of the hull and the speed, and determined the design variable sensitive degree. The composite algorithm is reliable and efficient so that it lays a solid foundation for hull form optimization design and evaluation analysis of the high-speed planing-hydrofoil USV. Keywords-synthetic optimization method; H-P-GA-C; planing-hydrofoil USV; navigation performance

/pdf/comprehensive-optimization-method-on-navigation-performance-4ryupauvf0.pdf

Comprehensive Optimization Method on Navigation Performance of the Planing-Hydrofoil USV

https://cyberleninka.org/article/n/174867.pdf

The Optimization Analysis of Navigation Performance and Structural Properties of the High-Speed Monohull Ship in River

In this paper, a hierarchical parallel chaos algorithm is designed based on parallel thinking, chaos theory and weighted distance rule and it is called new chaos algorithm (CX), and then based on parallel thinking, fuzzy theory, genetic algorithm and new chaos algorithm, a hierarchical parallel chaos fuzzy genetic algorithm is advanced and it is called HPCXFGA. This new 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 navigation performances and structural properties for high-speed monohull inland 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 composite algorithm can overcome GA's premature convergence and is reliable and efficient so that it lays a solid foundation for form optimization design and evaluation analysis of inland ships.

The HPC X FGA method of main navigation performance and structure characteristic of the high-speed monohull inland ship

The authors use the weighting summation of rapidity, maneuverability and seakeeping as the sub-objective function of ship navigation performances reliability; By using the weighting summation of static and dynamic properties reliability as other sub-objective function, The weighting summation of these 2 sub-objective functions is just the general objective function. In this paper, a parallel multi-processing genetic complex algorithm(PM-C-GA) has been put forward based on genetic algorithm and complex algorithm. This algorithm applied effectively to optimize the mechanics performance reliability of high-speed mono-hull ship.

The optimization analysis of mechanics performance reliability of the high-speed monohull ship

In this paper, a hierarchical parallel genetic-chaos algorithm is advanced basing on parallel thinking, genetic algorithm and new chaos algorithm and it is called HP-GA-CX. This new 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 main mechanics performance of the transitional inland ship. Quantities of computation results of different solving methods show that compared with other methods such as GA, chaos algorithm and their parallel algorithms, this composite algorithm is reliable and efficient so that it lays a solid foundation for hull form optimization design and evaluation analysis of the high-speed inland ships.

The optimization method study of main mechanics performance of the high-speed inland ship

In this paper,the fuzzy-chaos algorithm is proposed,which is composed of the fuzzy genetic algorithm of bound search and the chaos algorithm.This algorithm is applied to optimize,calculate and analyze large-scale ship performance or structural characteristics.Establishing the integrate optimization mathematical model which form is the linear addition power average sum of all object functions,programming the calculation software and carrying on a lot of comparison calculation.The calculation results show that these optimization methods and the calculation software have friendly interface,good dependability and higher calculation efficiency;this optimization method and the calculation software have practicability and applied to integrally optimize the ship performance or structural characteristics is feasible.To large-scale ship project or their primary design it is worth using.

Fuzzy-chaos algorithm and its study on application of integrate optimization of ship performance or structural characteristics

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Fuzzy-chaos algorithm and its study on application of integrate optimization of ship performance or structural characteristics