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 <Long,Lat> for each node.
b) Mesh.csv - contains information about the mesh used within optimisation procedure as <mid_long, mid_lat,boundary_min_long,boundary_max_long,boundary_min_lat,boundary_max_lat>.
c) Mesh_map.png - visualisation of Mesh.csv, where: red crosses represent <mid_long,mid_lat>; blue crosses represent <boundary_min_long,boundary_min_lat>; and purple squares represent <boundary_max_long,boundary_max_lat>.
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 (4-bytes) for ocean components: (U-speed, V-speed, temperature, salinity).
- "Wave" type contains raw waves data as single precision floating point values (4-bytes) of wave components: (height, direction, period).
- "Wind" type contains raw winds data as single precision floating point values (4-bytes) for wind components: (U-speed, V-speed).

本数据集依据发表文献中采用的实验场景进行划分：
- 场景1：大连 → 旧金山
- 场景2：南安普顿 → 卡拉奇
- 场景3：纽约 → 奥斯陆

每个数据集内包含3个文件与1个文件夹：
a) First_order_approx.csv：存储构建网格（Mesh）所用的一阶近似相关信息，格式为各节点的<经度,纬度>。
b) Mesh.csv：存储优化流程中使用的网格信息，格式为<中心经度,中心纬度,边界最小经度,边界最大经度,边界最小纬度,边界最大纬度>。
c) Mesh_map.png：网格的可视化成果，其中红色叉号代表<中心经度,中心纬度>，蓝色叉号代表<边界最小经度,边界最小纬度>，紫色方块代表<边界最大经度,边界最大纬度>。
d) Weather_data文件夹：以二进制格式存储所有气象数据：
- Weather_grid_sizes：用于定义对应气象数据的尺寸，包含经度/纬度集合与分辨率（步长）。
- 文件命名遵循如下格式：type.resolution-date_of_start-time_of_start-time_offset.bin，例如"hycom.0p08-20180813-t00z-003"代表分辨率为0.08度的hycom类型数据，起始时间为2018年8月13日00:00，与起始日期/时间存在3小时偏移（即对应2018年8月13日03:00的观测数据）。
- "Hycom"类型：存储海洋分量的单精度浮点型（4字节）原始流场数据，包含（U向流速、V向流速、温度、盐度）。
- "Wave"类型：存储海浪分量的单精度浮点型（4字节）原始海浪数据，包含（波高、波向、周期）。
- "Wind"类型：存储风场分量的单精度浮点型（4字节）原始风场数据，包含（U向风速、V向风速）。