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Taking into account the factors affecting the underwater unmanned vehicle integrated system, the system is divided into three aspects: performance system, function system and control system. By using analytic hierarchy process (AHP) and fuzzy comprehensive evaluation method, the index evaluation system of underwater unmanned vehicle integrated system design scheme is constructed layer by layer, and the evaluation mathematical model is established to calculate the importance of each element in each layer and group, and to determine the membership function. This provides a new method and technical system for underwater unmanned vehicle integrated system evaluation. The reliability of the system is verified by two examples.

The authors use the weighting summation of rapidity and maneuverability as the sub-objective function of ship performances; By using the weighting summation of static and dynamic properties as the 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 chaos algorithm(PM-C-FGA) has been put forward based on fuzzy method, genetic algorithm and chaos algorithm. This algorithm applied effectively to optimize the navigation performance and structural configuration of high-speed mono-hull ship in river.

Due to the Abbe diffraction limit, the resolution of a traditional optical microscopy is limited to about half of the illumination wavelength. Recent studies show that super-resolution imaging through dielectric microsphere has emerged as a simple imaging technique to overcome the diffraction limit under the illumination of white light. However, for imaging through microsphere, sometimes it is needed to enhance the reflection of a sample by depositing a metallic thin film on the top of the sample. Metallic thin films with different surface roughness have different optical properties. However, the effect caused by the surface roughness of a metallic film on microsphere imaging is rarely studied. In this paper, we study the effects of silver films with different surface roughness deposited on the surfaces of samples on the imaging properties of BaTiO3 (BTG) microspheres. Silver thin films are deposited respectively at evaporation rates of 1.5-3 Å/s and 5-10 Å/s, and the surface roughness values (root mean square (RMS) values) of the obtained silver films are about 3.23 nm and 6.80 nm, respectively. Using a BTG microsphere to observe a sample with a silver film deposited on its surface, we find that the surface roughness of the silver film will affect the imaging resolution and the range of focal image position (RFIP) of the BTG microsphere. When we use a 15-μm-diameter BTG microsphere to observe a 250-nm-diameter microsphere array and 580-nm-diameter microsphere array, the RFIP of the BTG microsphere increases with the RMS of the silver film increasing from 3.23 to 6.80 nm. Moreover, a 200-nm-diameter microsphere array can also be clearly discerned. The simulation results obtained by the commercial software COMSOL show that when the surface of a microsphere array sample is deposited with a rough silver film, the electric field intensity is enhanced not only in the gaps between adjacent microspheres, but also on the silver particles due to the excitation of localized surface plasmons. We propose that the scattering effect and the local electric field intensity enhancement caused by the rough silver film allow more high-frequency information of the sample to be coupled into the BTG microsphere, and thus improving the resolution and RFIP of the microsphere. As the imaging law of microsphere imaging still needs to be explored, our research work will be helpful in further revealing the mechanism in microsphere imaging.

Consideration on the unmanned surface vehicle (USV) rapidity, maneuverability and anti overturning resistance, this paper creates a synthetical optimization mathematical model of the new USV navigation performance, structure of a complex algorithm, preparation of the related software. Complete a number of optimization calculations, discuss the effects of weight and different speed on the optimization goal, and compared to the optimal performance of single genetic algorithm, hierarchical genetic algorithm and genetic chaotic hierarchical algorithm. The results show that the performance index weight and speed have significant influence on the optimization goal, and hierarchical genetic algorithm optimization performance is better.

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.

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 author built up a hierarchical parallel genetic compound form algorithm (H-P-G-C) which was develop based on delicate variables' segments, parallel algorithm, genetic algorithm (GA) and compound form algorithm. An optimizing model of navigation performances and structural properties for inland ships was constructed. This composite algorithm is programmed by VC++, it has a friendly graphical user interface. Quantities of computation results of comparison between different solving methods show that this composite algorithm has a solid foundation for form optimization and design evaluation of inland ships.

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.