% 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);
% 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