花授粉算法的matlab代码

花授粉算法（Flower Pollination Algorithm，FPA）是一种基于自然界花授粉过程的优化算法，用于解决优化问题。以下是FPA的Matlab代码实现：

function [best, fmin] = FPA(fhd, dim, N, maxFEs, lb, ub)
% fhd: function handle
% dim: dimension of the problem
% N: population size
% maxFEs: maximum number of function evaluations
% lb: lower bound of the search space
% ub: upper bound of the search space

% Initialize the population
X = lb + (ub - lb) * rand(N, dim);
f = feval(fhd, X');
FEs = N;

% Find the best solution
[fmin, idx] = min(f);
best = X(idx, :);

while FEs < maxFEs
    % Generate a new population
    for i = 1:N
        % Randomly select a flower to pollinate
        j = randi(N);
        while j == i
            j = randi(N);
        end
        
        % Calculate the difference between the two flowers
        beta = rand(1, dim);
        beta = (beta - 0.5) .* 2;
        diff = abs(X(j, :) - X(i, :));
        
        % Pollinate the flower
        X(i, :) = X(i, :) + beta .* diff;
        
        % Check the boundaries
        X(i, :) = max(X(i, :), lb);
        X(i, :) = min(X(i, :), ub);
        
        % Evaluate the new solution
        f(i) = feval(fhd, X(i, :)');
        FEs = FEs + 1;
        
        % Update the best solution
        if f(i) < fmin
            fmin = f(i);
            best = X(i, :);
        end
        
        % Check the stopping criterion
        if FEs >= maxFEs
            break;
        end
    end
end
end

其中，fhd是目标函数的函数句柄，dim是问题的维度，N是种群大小，maxFEs是最大的函数评价次数，lb和ub是搜索空间的下界和上界。函数返回最优解best和最优解对应的目标函数值fmin。