布谷鸟算法matlab程序
时间: 2023-09-03 22:11:55 浏览: 49
以下是布谷鸟算法的 MATLAB 程序示例:
```matlab
function [best, fmin, out] = BBO(fhd, n, lb, ub, maxgen, npop, pa, fl, fh, varargin)
% BBO: Bare Bones Optimization
% fhd: function handle
% n: dimension
% lb: lower bound
% ub: upper bound
% maxgen: maximum number of iterations
% npop: population size
% pa: probability of abduction
% fl: frequency of mutation
% fh: frequency of hybridization
% varargin: additional arguments to fhd
% best: best solution found
% fmin: objective function value at best
% out: output information
% Initialize
pop = repmat(lb, npop, 1) + repmat((ub-lb), npop, 1) .* rand(npop, n); % population
fitness = zeros(npop, 1); % fitness
[fmin, fminidx] = Inf, 0; % best objective function value and index
out = []; % output information
gen = 0; % generation
% Main loop
while gen < maxgen
% Evaluate fitness
for i = 1:npop
fitness(i) = feval(fhd, pop(i,:), varargin{:});
if fitness(i) < fmin
fmin = fitness(i);
fminidx = i;
end
end
% Output information
out = [out; [gen fmin]];
% Abduction
for i = 1:npop
if rand < pa
% Select a random individual
j = randi([1 npop], 1);
% Compute the distance
d = norm(pop(j,:)-pop(i,:));
% Update the position
pop(i,:) = pop(i,:) + rand*(pop(j,:)-pop(i,:))/d;
end
end
% Mutation
for i = 1:npop
if rand < fl
% Compute the standard deviation
sigma = std(pop);
% Mutate the position
pop(i,:) = pop(i,:) + sigma .* randn(1,n);
end
end
% Hybridization
for i = 1:npop
if rand < fh
% Select a random individual
j = randi([1 npop], 1);
% Compute the average
avg = (pop(i,:) + pop(j,:)) / 2;
% Update the position
pop(i,:) = avg + rand*(pop(j,:)-pop(i,:));
end
end
% Ensure bounds
pop(pop < lb) = lb(pop < lb);
pop(pop > ub) = ub(pop > ub);
% Increment generation counter
gen = gen + 1;
end
% Return the best solution found
best = pop(fminidx,:);
fmin = feval(fhd, best, varargin{:});
end
```
请注意,此示例代码仅用于说明如何实现布谷鸟算法,并且不一定是最优的实现方式。您可能需要根据自己的需求进行修改和优化。