用matlab实现禁忌搜索的导频分配算法代码

以下是用 MATLAB 实现禁忌搜索的导频分配算法代码示例：

% 初始化导频分配方案
function solution = init_solution(num_freq, num_users)
    solution = randi([1, num_freq], 1, num_users);
end

% 计算系统性能指标
function performance = calc_performance(solution)
    % TODO: 根据具体的问题定义系统性能指标
    performance = rand();
end

% 生成邻域解
function neighbors = generate_neighbors(solution)
    neighbors = {};
    for i = 1:length(solution)
        for j = 1:length(solution)
            if i == j
                continue;
            end
            new_solution = solution;
            new_solution([i j]) = new_solution([j i]);
            neighbors{end+1} = new_solution;
        end
    end
end

% 判断是否符合禁忌条件
function is_tabu = is_tabu(move, tabu_list)
    % TODO: 根据具体的问题定义禁忌条件
    is_tabu = any(ismember(tabu_list, move, 'rows'));
end

% 选择移动方向并更新当前解
function [best_solution, best_move] = select_move(current_solution, neighbors, tabu_list)
    best_solution = current_solution;
    best_performance = calc_performance(current_solution);
    best_move = [];
    for i = 1:length(neighbors)
        neighbor = neighbors{i};
        if is_tabu(neighbor, tabu_list)
            continue;
        end
        performance = calc_performance(neighbor);
        if performance > best_performance
            best_solution = neighbor;
            best_performance = performance;
            best_move = [find(current_solution == neighbor(i)) i];
        end
    end
    if ~isempty(best_move)
        tabu_list(end+1,:) = best_move;
    end
end

% 禁忌搜索算法
function best_solution = tabu_search(num_freq, num_users, max_iter, tabu_size)
    current_solution = init_solution(num_freq, num_users);
    best_solution = current_solution;
    tabu_list = [];
    for i = 1:max_iter
        neighbors = generate_neighbors(current_solution);
        [current_solution, move] = select_move(current_solution, neighbors, tabu_list);
        if calc_performance(current_solution) > calc_performance(best_solution)
            best_solution = current_solution;
        end
        if size(tabu_list, 1) > tabu_size
            tabu_list(1,:) = [];
        end
    end
end

需要注意的是，以上代码中的一些函数需要根据具体的问题进行修改，以适应不同的导频分配问题。例如，`calc_performance`函数需要根据具体的系统性能指标计算出每个导频分配方案的性能，`is_tabu`函数需要根据具体的禁忌条件判断一个移动是否符合禁忌条件等。同时，MATLAB 中的矩阵操作和 Python 中的列表操作有所不同，需要注意使用。