禁忌搜索算法卡车无人机路径matlab代码

这是一个简单的禁忌搜索算法，用于求解卡车无人机路径问题。以下是Matlab代码：

% 初始化
clear all;
clc;
n = 10; % 随机生成的城市数量
maxIter = 1000; % 最大迭代次数
tabuLength = 10; % 禁忌表长度
tabuList = zeros(n, n); % 禁忌表
currentSolution = randperm(n); % 当前解
bestSolution = currentSolution; % 最优解
bestCost = tspfun(bestSolution); % 最优解的成本
currentCost = bestCost; % 当前解的成本
iter = 1; % 迭代次数

% 算法主循环
while iter < maxIter
    % 构造候选解集
    candidateList = cell(n, 1);
    for i = 1:n
        for j = i+1:n
            candidateList{i} = [candidateList{i}, j];
        end
    end
    
    % 找出最好的候选解
    bestCandidateCost = Inf;
    for i = 1:n
        for j = 1:length(candidateList{i})
            if tabuList(i, candidateList{i}(j)) == 0
                newSolution = currentSolution;
                newSolution([i, candidateList{i}(j)]) = newSolution([candidateList{i}(j), i]);
                newCost = tspfun(newSolution);
                if newCost < bestCandidateCost
                    bestCandidate = [i, candidateList{i}(j)];
                    bestCandidateCost = newCost;
                end
            end
        end
    end
    
    % 更新当前解和最优解
    currentSolution(bestCandidate) = currentSolution([bestCandidate(2), bestCandidate(1)]);
    currentCost = bestCandidateCost;
    if currentCost < bestCost
        bestSolution = currentSolution;
        bestCost = currentCost;
    end
    
    % 更新禁忌表
    tabuList = max(tabuList - 1, 0);
    tabuList(bestCandidate(1), bestCandidate(2)) = tabuLength;
    
    % 输出迭代信息
    fprintf('Iter: %d, Cost: %f\n', iter, bestCost);
    
    % 更新迭代次数
    iter = iter + 1;
end

% 可视化结果
figure;
plot([bestSolution, bestSolution(1)], 'o-');
title(sprintf('Best Solution: %f', bestCost));
xlabel('City Index');
ylabel('Order');

其中，tspfun函数是计算旅行商问题的成本函数，可以根据实际情况进行修改。