Particle Swarm Optimization algorithm
2016-08-23
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SO to simulate flocks of predatory behavior. Imagine a scenario: Flock of birds randomly searching for food. Only one piece of food in the region. All birds don't know that food there. But they know the current location of food was still far away. So finding food: what's the best strategy. The simplest and most effective is in search of birds around the area closest to the food at present. PSO draw inspiration from the model and used to solve optimization problems. PSO, every solution of optimization problems is a bird in the search space. We call the "particle". All examples have a determined by the function that is optimized for fitness (fitness value), each particle has a velocity to determine their direction and distance to fly. Then particle will follow current best solution space search PSO is initialized to a bunch of random particles (random solution). And then through the iterations to find the optimal solution. At each iteration, and particles by track two "ext
matlab
算法
优化
粒子
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