HPCC2025/visualization.py

import matplotlib.pyplot as plt
import matplotlib.patches as patches
import json

def visualize_solution(row_boundaries, col_boundaries, car_paths, W, H):
    plt.rcParams['font.family'] = ['sans-serif']
    plt.rcParams['font.sans-serif'] = ['SimHei']
    fig, ax = plt.subplots()
    ax.set_xlim(0, W)
    ax.set_ylim(H, 0)  # 调整y轴方向，原点在左上角
    ax.set_title("区域划分与车-机-巢系统覆盖")
    ax.set_xlabel("区域宽度")
    ax.set_ylabel("区域高度")

    # 定义若干颜色以区分不同系统（系统编号从0开始）
    colors = ['red', 'blue', 'green', 'orange', 'purple', 'cyan', 'magenta']

    # 绘制区域中心
    region_center = (H / 2.0, W / 2.0)
    ax.plot(region_center[1], region_center[0],
            'ko', markersize=8, label="区域中心")

    # 绘制行分割边界
    for row in row_boundaries:
        ax.axhline(y=row * H, color='black', linestyle='--')

    # 绘制列分割边界
    for col in col_boundaries:
        ax.axvline(x=col * W, color='black', linestyle='--')

    # 绘制每辆车的轨迹
    for system_id, path in enumerate(car_paths):
        path = [(region_center[0], region_center[1])] + path + [(region_center[0], region_center[1])]
        y, x = zip(*path)
        ax.plot(x, y, marker='o', color=colors[int(system_id) % len(colors)], label=f"系统 {system_id}")

    # 添加图例
    ax.legend()
    plt.show()

if __name__ == "__main__":
    import yaml

    # 读取参数
    with open('params3.yml', 'r', encoding='utf-8') as file:
        params = yaml.safe_load(file)

    H = params['H']
    W = params['W']

    # 读取最佳方案的JSON文件
    with open(r'solutions\trav_ga_params3_parallel.json', 'r', encoding='utf-8') as f:
        best_solution = json.load(f)

    row_boundaries = best_solution['row_boundaries']
    col_boundaries = best_solution['col_boundaries']
    car_paths = best_solution['car_paths']

    visualize_solution(row_boundaries, col_boundaries, car_paths, W, H)