【JCR一区级】Matlab实现鱼鹰优化算法OOA-CNN-LSTM-Attention的故障诊断算法研究

算法如诗2024-07-27 11:09

% 鱼鹰优化算法示例

% 参数设置

num_agents = 50; % 鱼鹰数量

max_iter = 100; % 迭代次数

lb = -10; % 参数下界

ub = 10; % 参数上界

% 初始化鱼鹰位置

positions = lb + (ub-lb) * rand(num_agents, 1);

% 迭代优化

for iter = 1:max_iter

% 计算适应度

fitness = objective_function(positions);

复制代码

% 找到最好的位置
[best_fitness, best_idx] = min(fitness);
best_position = positions(best_idx);

% 更新鱼鹰位置
new_positions = positions;
for i = 1:num_agents
    if i ~= best_idx
        % 随机选择另一只鱼鹰
        other_fish = randi([1, num_agents-1]);
        if other_fish >= i
            other_fish = other_fish + 1;
        end

        % 更新位置
        new_positions(i) = positions(i) + rand() * (positions(other_fish) - positions(i));
    end
end

positions = new_positions;

end

% 输出结果

disp(['最优解：', num2str(best_position)]);

disp(['最优适应度值：', num2str(best_fitness)]);

% 优化目标函数

function fitness = objective_function(x)

fitness = x.^2; % 简单的平方函数作为示例

end