沙质海床对波浪的响应及其稳定性研究的回顾

本文简要回顾了前人关于沙质海床在波浪作用下的响应，液化和稳定性等方面问题和研究状况。对各研究中所采用的计算模型、计算方法、应用范围以及存在的问题作了较为系统的评述。此外对各问题的最新研究成果也作了简要的介绍，最后讨论了该领域中有待于进一步研究的问题。     

对当前鳗鱼配合饲料生产若干问题的探讨

本文分析了当前鳗鱼饲料厂重复建设和饲料价格昂贵的状况，探讨了鳗鱼饲料和质量管理的问题，提出了现有生产配方存在的问题和改进的方法，并指明今后重点研究的内容，此外，探讨了药物饲料和欧洲鳗饲料的开发问题。     

近海水产养殖与环境管理

迅速发展的近海水产养殖业，为社会创造了巨大的财富和就业机会，同时也带来了严重的环境影响和社会经济问题，其中包括开垦大面积湿地、地面下沉、土壤酸化、地下水和农田盐渍化等。这些问题造成的损失在某种程度上严重影响了近海水产养殖业本身的综合效益。为此，对近岸区域实施综合规划和管理，推广和采用无环境危害、技术适宜、经济可行，社会可接受的方法，使近海水产养殖业在提高总体效益的基础上持续发展。     

城市地下水开发引起的岩土环境问题与对策

从环境岩土工程学的角度出发，对由于大量开采地下水造成的环境工程地质问题和环境水文地质问题而造成的地面沉降和塌陷、水资源短缺、水质污染及海水入侵等不良后果进行了较为全面的论述，并就各种问题的防治提出了综合措施。     

关于海域使用管理工作中几个问题的思考

我国海域使用管理法正在制定过程中，该法在海洋法律体系中还是一部新类别的法律，虽然已有《国有海域使用管理暂行规定》实施的８年经验，但并非在法理调整范围和对象等问题上都已成熟了，有些问题确需进行深一步研究。本文提出了“非办证型”的新术语的和某些法律适用等问题，作者谈了自己的看法。为了推进海域使用管理立法和现行规章的实施，我们欢迎有关专家、行政管理人员和读者，参加讨论，踊跃发表意见。──编者语 近几年来，随着海域使用许可制度和海域使用有偿制度的实行，无序、无度、无偿开发利用海洋的混乱局面得到基层遏制。…     

我国海水淡化和海水直接利用事业前景的分析

本文扼要介绍了国内外海水淡化，海水直接利用的概况。认为我国海水淡化和海水直接利用程度较低。这既有技术问题，也有资金问题，但更重要的是观念、认识和政策问题。文章最后认为，只要我们转变观念，提高认识，采取适当政策，鼓励技术攻关，我国海水利用事业本世纪打下良好基础，前景广阔。     

海洋测绘基准的需求及现状

研究了海洋测绘基准的需求问题，从几个方面探讨了建立海洋测绘基准的必要性和具体方法，介绍了深度基准面的确定方法以及海洋测绘基准发展的现状、存在的问题和解决的对策。     

科技论文撰写中应注意的问题

科技论文撰写的规范化和标准化，是科技期刊逐步走向正规化、国际化对科技论文的迫切要求。就题名、摘要、关键词、引言、正文、结论、参考文献和论文编排格式中应注意的问题进行了论述，并就一些科技论文中普遍存在的问题进行了举例说明。     

厦门市海域功能区划实践中若干问题的探讨

1997年，厦门市制定了中国第一部市级海洋功能区划，率先实行了海洋功能区划制度，几年来在科学指导海洋开发活动、建立良好的海洋开发和管理秩序、合理地利用海洋资源和调整海洋产业布局、实施海洋经济的可持续发展等方面取得了良好的效果。但是，海洋功能区划实施后，厦门市的海域使用仍然存在一些问题。中国范围内的市、县级海洋功能区划刚刚完成，都还处于起步实施阶段，对于功能区划的管理和实践中出现的问题进行总结，分析探讨其原因，     

青岛市整体形象的规划建设

生态城市建设是城市发展的必然，也是城市建设的最佳形式。分析了青岛总体建设的现状，指出了有关生态城市建设、城市功能、城市道路建设和城市建筑环境的问题，并提出了解决上述问题的建议。青岛应利用举办2008年奥林匹克运动会的机会将青岛建成一优质、绿色和生态的大都市。     

混合电解质水溶液相平衡计算的研究

建立了一种混合电解质溶液相平衡计算的混合整数非线性规划模型,并提出用遗传算法求解.首先基于G|bbs自由能最小化原理,通过对液相、固相析出盐种类编码的处理,建立了电解质体系相平衡计算模型,将相平衡计算问题转化为有约束的最优化问题;其次用遗传算法求解,通过对优化变量采取动态边界的可行域编码方法和序贯收敛技术保证了算法的有效实施,可实现固液平衡计算并得到析出的晶体数、盐的种类、固体的量以及液相组成;最后对多种体系进行了计算,结果表明此方法可行有效.     

Evolutionary path planning for autonomous underwater vehicles in a variable ocean

This paper proposes a genetic algorithm (GA) for path planning of an autonomous underwater vehicle in an ocean environment characterized by strong currents and enhanced space-time variability. The goal is to find a safe path that takes the vehicle from its starting location to a mission-specified destination, minimizing the energy cost. The GA includes novel genetic operators that ensure the convergence to the global minimum even in cases where the structure (in space and time) of the current field implies the existence of different local minima. The performance of these operators is discussed. The proposed algorithm is suitable for situations in which the vehicle has to operate energy-exhaustive missions.     

Optimization Design of Fairings for VIV Suppression Based on Data-Driven Models and Genetic Algorithm

Vortex induced vibration(VIV)is a challenge in ocean engineering.Several devices including fairings have been designed to suppress VIV.However,how to optimize the design of suppression devices is still a problem to be solved.In this paper,an optimization design methodology is presented based on data-driven models and genetic algorithm(GA).Data-driven models are introduced to substitute complex physics-based equations.GA is used to rapidly search for the optimal suppression device from all possible solutions.Taking fairings as example,VIV response database for different fairings is established based on parameterized models in which model sections of fairings are controlled by several control points and Bezier curves.Then a data-driven model,which can predict the VIV response of fairings with different sections accurately and efficiently,is trained through BP neural network.Finally,a comprehensive optimization method and process is proposed based on GA and the data-driven model.The proposed method is demonstrated by its application to a case.It turns out that the proposed method can perform the optimization design of fairings effectively.VIV can be reduced obviously through the optimization design.     

Mooring optimization of floating platforms using a genetic algorithm

This paper presents a new procedure for the optimization of the mooring design of floating platforms, in which an automatic design sequence is also established. Regarding the optimization philosophy, the following aspects are dealt with:

• The optimization of the platform heading and its mooring pattern, taking into account the environmental force spreading;

• optimum line length or line tension for each mooring line, associated to the optimization of the mooring line materials and sizes.

Basically, the main goal of this paper is to introduce a new method, which will provide the quickest way to find the best mooring system, defined here as that which minimizes platform responses.A genetic algorithm (GA) is applied in this contribution, and this paper describes exactly the procedure of developing a GA code directed toward the solution of mooring design optimization problems. In order to prove the efficiency and the vast potential of the proposed algorithm as a design tool, sample moorings are analyzed for different environmental conditions and the final results, including the time required to run them, are presented.     

Geoacoustic seafloor exploration with a towed array in a shallowwater area of the Strait of Sicily

Acoustic propagation in shallow water is greatly dependent on the geoacoustic properties of the seabottom. This paper exploits this dependence for estimating geoacoustic sediment properties from the bottom acoustic returns of known signals received on a hydrophone line array. There are two major issues in this approach: one is the feasibility of acoustic inversion with a limited aperture line array, the other is related to the knowledge of the geometry of the experimental configuration. To test the feasibility of this approach, a 40-hydrophone-4-m spaced towed array together with a low-frequency acoustic source, was operated at a shallow water site in the Strait of Sicily. In order to estimate the array deformation in real time, it has been equipped with a set of nonacoustic positioning sensors (compasses, tilt-meters, pressure gauges). The acoustic data were inverted using two complementary approaches: a genetic algorithm (GA) like approach and a radial basis functions (RBF) inversion scheme. More traditional methods, based on core sampling, seismic survey and geophone data, together with Hamilton's regression curves, have also been employed on the same tracks, in order to provide a ground truth reference environment. The results of the experiment, can be summarized as follows: 1) the towed array movement is not negligible for the application considered and the use of positioning sensors are essential for a proper acoustic inversion, 2) the inversion with GA and RBF are in good qualitative agreement with the ground truth model, and 3) the GA scheme tends to have better stability properties. On the other hand, repeated in version of successive field measurements requires much less computational effort with RBF     

Seabed Classification Using BP Neural Network Based on GA

INTRODUCTIONUnderwaterremotesensingtools,suchasmulti beam ,sidescansonar,sub bottom pro file ,video ,etc .,arenormalmeanstoexploreseabed .Foreaseofnotation ,sidescansonarim ageisusedtodemonstrateseabedimage .Sidescansonarisakindofhigh resolutionimagingandcancontinuouslymonitorthechangesofseafloor.Inordertorelievetechniciansfromhardhandwork ,theautomaticclassificationbycomputerisneeded .Differentfromthespatialremotesensingimage ,underwatersonarimageistheformernon multi spectralimage .Theo…     

基于遗传算法的开敞域码头桩基优化设计

利用遗传算法对大型高桩码头的桩基布置问题建立了离散结构优化模型,通过对上海宝钢30万吨码头桩基优化的算例分析,得到了较常规算法更好的结构方案。     

基于WOA-BP算法的海底管道腐蚀速率预测

管道腐蚀速率的影响因素众多且各因素协同作用,构成异常复杂的腐蚀体系,很难对其进行准确预测。针对单一BP模型由于初始权值和阈值的选取不当容易陷入局部最优等问题,引入WOA算法优化BP神经网络对海底管道腐蚀速率进行预测,并与GA和PSO算法优化BP预测模型进行对比,验证WOA-BP模型的预测效果和可行性。结果表明：WOA-BP模型的平均绝对百分误差和均方根误差分别为3.689%和0.1537,远低于单一BP、PSO-BP、GA-BP模型,具有较高的预测精度和稳定性,可以为海底管道内腐蚀防护和油气管道流动保障提供决策支持。     

Multistep matched-field inversion for broad-band data from ASIAEX2001

This paper discusses the results of geoacoustic inversion carried out using explosive charge data from the Asian Seas International Acoustic Experiment (ASIAEX) East China Sea (ECS) Experiment. A multifrequency incoherent matched-field inversion processor and a genetic algorithm (GA) are used for the inversion. A multistep matched field inversion approach is presented, which makes use of the varying sensitivities of wave fields at various frequencies to reduce the inversion problem into a sequence of smaller inversions with fewer unknowns to estimate at each stage. Different parameters are estimated using data at different frequencies according to their sensitivities. Inversion results for different areas in the ECS region are summarized and compared with core data.     

一种分布式数据流有效数据识别方法研究

针对分布式数据流应用中。如何在高速、海量的输入数据中识别重要数据单元的问题，给出了有效数据的概念，并提出了1种有效数据识别算法。该算法以缩略闭技术为基础，能够在用户给定的误差范围内。以接近1的概率输出有效数据，而且占用较少内存。实验和算法分析验证了算法的有效性。