Dataset for publication: "The benefits of co-evolutionary Genetic Algorithms in voyage optimisation"

The Dataset is separated according to the cases used within the publication: - Case 1: Dalian -> San Francisco - Case 2: Southampton -> Karachi - Case 3: New York -> Oslo Within each dataset 3 files and 1 folder are included: a) First_order_approx.csv - contains information about first order approximation according to which the mesh was built, as for each node. b) Mesh.csv - contains information about the mesh used within optimisation procedure as . c) Mesh_map.png - visualisation of Mesh.csv, where: red crosses represent ; blue crosses represent ; and purple squares represent . d) Weather_data folder - where all weather data is stored in a binary format: - Weather_grid_sizes - defines size of the respective weather data as set of long/lat and resolution (step) - Naming of the files follows format: type.resolution-date_of_start-time_of_start-time_offset.bin e.g. "hycom.0p08-20180813-t00z-003" is for "hycom" type with resolution of 0.08 degree; starting on 2018-08-13 at 00 hours (12:00 am), with 3h offset from starting date/time (so in this case it is data for 03:00 am on 13-08-2018). - "Hycom" type contains raw currents data as single precision floating point values for ocean components: (U-speed, V-speed, temperature, salinity). - "Wave" type contains raw waves data as single precision floating point values of wave components: (height, direction, period). - "Wind" type contains raw winds data as single precision floating point values for wind components: (U-speed, V-speed).本数据集按照论文中采用的案例进行划分： - 案例1：大连（Dalian）→ 旧金山（San Francisco） - 案例2：南安普顿（Southampton）→ 卡拉奇（Karachi） - 案例3：纽约（New York）→ 奥斯陆（Oslo） 每个数据集包含3个文件与1个文件夹，具体如下： a) First_order_approx.csv：存储构建网格所用的一阶近似（first order approximation）相关信息，针对每个网格节点。 b) Mesh.csv：存储优化过程中使用的网格相关信息。 c) Mesh_map.png：Mesh.csv的可视化结果，其中：红色叉号代表[原文未明确标注内容]；蓝色叉号代表[原文未明确标注内容]；紫色方块代表[原文未明确标注内容]。 d) Weather_data文件夹：以二进制格式存储所有气象数据： - Weather_grid_sizes：定义对应气象数据的尺寸，由经纬度范围与分辨率（步长）组成。 - 文件命名遵循如下格式：`类型.分辨率-起始日期-起始时间-时间偏移.bin`，例如`hycom.0p08-20180813-t00z-003`，该示例对应类型为hycom、分辨率0.08度、2018年8月13日00时（午夜）启动，相较于起始时间偏移3小时（即该数据对应2018年8月13日03:00的观测值）。 - Hycom类型：存储海流分量的单精度浮点型原始数据，包含U方向流速、V方向流速、海水温度、盐度四项参数。 - Wave类型：存储海浪分量的单精度浮点型原始数据，包含浪高、浪向、浪周期三项参数。 - Wind类型：存储风场分量的单精度浮点型原始数据，包含U方向风速、V方向风速两项参数。