粒子群算法在计算机自动配棉优化中的应用

摘要

为提高计算机配棉的自适应性和通用性,对于多约束条件的计算机配棉优化设计,提出了基于粒子群优化算法优化求解的方法.通过对自动配棉问题进行数学建模,将其转化为多约束条件下多维函数优化问题,再将粒子群优化算法引入模型的求解中,保证了方程组中每个可能的解都能被精确搜索到.实例证实了该方法能够快速、有效求得优化解,而且达到最优化的组合.%To improve the adaptability and versatility of computer automatic cotton distribution, an optimized solution based on particle swarm algorithm was presented for the design of computer automatic cotton distribution under multi-constraint conditions. A mathematical model is developed for automatic cotton distribution issue, transforming it into a multi-constrained and multi-dimensional function optimization problem, then the particle swarm algorithm is introduced into the solution of the model, ensuring that every possible solution in the equation groups can be accurately searched out. Practical application examples have proved that the optimal solution can be quickly and effectively reached by this method.