CO10 2023-02-26 18:09 采纳率: 66.7%
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遗传算法求解应急物流中心选址问题

使用Matlab来求解应急物流中心选址问题
已经有完整的代码,但是需要在此基础上改一点约束条件,应该是很简单的只不过本人不太懂代码操作
希望可以联系,提供所有数据和完整代码,有偿

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  • CodeBytes 2023-02-27 11:07
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    该回答引用ChatGPT

    按照你的要求修的,请测试

    clc
    clear
    close all
    
    % 常量定义
    MAX_gen = 4000;           % 最大迭代步数
    center.Station = [31708.622,7772.865;31705.726,7766.996;31730.340,7771.543;31709.847,7799.784;31702.607,7775.014;31700.937,7774.105];
    center.chubei = [5000, 5000, 5000, 5000, 5000, 5000];
    cost.construction = 2500 * 10000; % 元
    cost.storage = 100;
    P = 0.1; % 发生灾害的概率
    
    % 车辆和无人机的运输速度和单位成本
    vehicle_speed = 60; % km/h
    vehicle_cost = 5; % 元/每单位资源/km
    drone_speed = 72; % km/h
    drone_cost = 7; % 元/每单位资源/km
    
    % 需求点及其需求量
    requirement.Station = [31699.8,7774.1; 31739.9,7767.4; 31702.0,7775.7; 31749.9,7777.4; 31733.2,7789.7; 31688.6,7802.1; 31710.9,7800.5; 31688.6,7823.6; 31767.7,7812.8; 31667.5,7769.1];
    requirement.need = [670, 800, 800, 950, 3010, 800, 2560, 1320, 1060, 950];
    
    % 计算车辆和无人机运输距离
    vehicle_indices = 1:6;
    drone_indices = 7:10;
    vehicle_distances = pdist2(center.Station(vehicle_indices, :), requirement.Station);
    drone_distances = pdist2(center.Station(drone_indices, :), requirement.Station);
    
    % 初始化种群
    pop_length = size(requirement.Station, 1);
    pop_num = 100;
    pop_choose = size(center.Station, 1);
    Pcc = 0.8; % 交叉概率
    Pmm = 0.05; % 变异概率
    popus = init(pop_length, pop_num, pop_choose);  
    
    % 迭代优化
    for gen = 1:MAX_gen
        sprintf('迭代次数%d', gen)
        for i = 1:size(popus, 1)
            % 计算种群个体的适应度
            f = fit(popus, center, requirement, cost, P);
            
            % 更新最优解
            if min(f) <= best.min_f
                advance_k = advance_k + 1;
                ff_better{advance_k} = f;
                f_better(advance_k) = min(f);
                best.min_f = min(f);
                [re, index] = min(f);
                best.jieguo = popus{index(1)};
                best.popus = popus;
            else
                advance_k = advance_k + 1;
                ff_better{advance_k} = ff_better{advance_k-1};
                f_better(advance_k) = f_better(advance_k-1);
                popus = best.popus;
            end
            PPP{gen} = popus;
            popus = choose(popus, f, Pcc, Pmm, center);
    
            % 将种群中每个个体分配到车辆或无人机
            vehicle_assignments = zeros(size(popus));
            drone_assignments = zeros(size(popus));
            for j = 1:size(popus, 1)
                vehicle_indices = find(popus{j} <= 6);
                drone_indices = find(popus{j} > 6);
                vehicle_distance = sum(vehicle_distances(vehicle_indices, j));
                drone_distance = sum(drone_distances(drone_indices, j));
                vehicle_time = vehicle_distance / vehicle_speed;
                drone_time = drone_distance / drone_speed;
                vehicle_cost_total = sum(vehicle_cost * requirement.need(vehicle_indices) * vehicle_distances(vehicle_indices, j));
                drone_cost_total = sum(drone_cost * requirement.need(drone_indices) * drone_distances(drone_indices, j));
                if vehicle_time + drone_time <= 24 && vehicle_cost_total + drone_cost_total <= cost.construction
                    vehicle_assignments(j, vehicle_indices) = 1;
                    drone_assignments(j, drone_indices) = 1;
                end
            end
    
            % 输出方案
            for j = 1:size(vehicle_assignments, 1)
                vehicle_indices = find(vehicle_assignments(j, :));
                drone_indices = find(drone_assignments(j, :));
                if ~isempty(vehicle_indices) && ~isempty(drone_indices)
                    fprintf('方案 %d: 候选点 %d 送达需求点 %s(车辆运输)和 %s(无人机运输)\n', j, i, num2str(vehicle_indices), num2str(drone_indices));
                elseif ~isempty(vehicle_indices)
                    fprintf('方案 %d: 候选点 %d 送达需求点 %s(车辆运输)\n', j, i, num2str(vehicle_indices));
                elseif ~isempty(drone_indices)
                    fprintf('方案 %d: 候选点 %d 送达需求点 %s(无人机运输)\n', j, i, num2str(drone_indices));
                else
                    fprintf('方案 %d: 候选点 %d 未选取任何需求点\n', j, i);
                end
            end
        end
    end
    
    
    
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  • 系统已结题 3月7日
  • 已采纳回答 2月27日
  • 创建了问题 2月26日

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