粒子群算法参数matlab
时间: 2023-10-15 16:22:46 浏览: 36
在Matlab中,可以使用以下代码实现粒子群算法的基本框架:
```matlab
function [gbest, gbest_fitness] = PSO(problem, swarm_size, max_iterations, inertia_weight, cognitive_weight, social_weight)
% 初始化粒子群
swarm = initialize_swarm(swarm_size, problem.dimension);
% 初始化个体最优位置和适应度
pbest = swarm.position;
pbest_fitness = zeros(swarm_size, 1);
% 初始化全局最优位置和适应度
[gbest_fitness, gbest_index] = min(swarm.fitness);
gbest = swarm.position(gbest_index, :);
% 迭代更新
for iteration = 1:max_iterations
for i = 1:swarm_size
% 更新速度
swarm.velocity(i, :) = inertia_weight * swarm.velocity(i, :) ...
+ cognitive_weight * rand(1) * (pbest(i, :) - swarm.position(i, :)) ...
+ social_weight * rand(1) * (gbest - swarm.position(i, :));
% 更新位置
swarm.position(i, :) = swarm.position(i, :) + swarm.velocity(i, :);
% 适应度评估
swarm.fitness(i) = evaluate_fitness(swarm.position(i, :), problem);
% 更新个体最优位置和全局最优位置
if swarm.fitness(i) < pbest_fitness(i)