给我写一段灰狼优化算法的代码
时间: 2024-05-05 11:17:54 浏览: 8
以下是一段简单的灰狼优化算法的代码:
```
function gray_wolf_optimizer(objective_function, lb, ub, dim, search_agents, max_iter)
alpha = zeros(dim, 1);
beta = zeros(dim, 1);
delta = zeros(dim, 1);
positions = rand(search_agents, dim) .* (ub - lb) + lb;
for iter = 1:max_iter
a = 2 - iter * (2 / max_iter);
for i = 1:search_agents
fitness = objective_function(positions(i, :));
if fitness < objective_function(alpha)
delta = beta + (2 * rand(dim, 1) - 1) .* abs(beta - positions(i, :));
alpha = positions(i, :) + a .* delta;
end
if fitness > objective_function(alpha) && objective_function(positions(i, :)) < objective_function(beta)
delta = alpha + (2 * rand(dim, 1) - 1) .* abs(alpha - positions(i, :));
beta = positions(i, :) + a .* delta;
end
if fitness > objective_function(alpha) && fitness > objective_function(beta) && objective_function(positions(i, :)) < objective_function(delta)
delta = alpha + (2 * rand(dim, 1) - 1) .* abs(alpha - positions(i, :));
beta = delta + (2 * rand(dim, 1) - 1) .* abs(delta - positions(i, :));
alpha = positions(i, :) + a .* beta;
end
end
positions = positions + rand(search_agents, dim) .* (beta - positions + alpha - positions);
positions = min(max(positions, lb), ub);
end
result = alpha;
end
```
希望对你有帮助!