優化選擇問題,一直是決策者不斷嘗試解決的問題,粒子群優化法利用仿生智能理論,以簡單,參數少,收斂快的優勢,應用在許多排程或多目標最佳化上,本論文以粒子群演算法針對一個投標商採購多樣產品以多家供應商之選擇,以期解決在預算內如何分配供應商採購數量的選擇問題,本論文第二章先針對所需採購之光纖產品做簡單介紹,第三章介紹各種群體智能演算法,第四章解釋粒子群的演算方式,第五章利用粒子群演算法對光纖產品選購優化問題做實測,第六章針對結果做總結。;Optimal selection is the question that decision-makers continually attempt to solve. The Particle Swarm optimizationutilized bio-inspired theory and applied on many scheduling or multi-objectiveoptimization for its advantages such as simple, few parameter and fast convergence. The study aims at the decision that bidder brought variety kinds of products from multiple distributors in order to solve decision problem of purchase amount distribution of distributors and keep within budget by particle swarm optimization. Chapter 2 of the article gives a brief introduction on fiber wires needed to order. Chapter 3 introduces each kind of swarm intelligenceoptimization. Chapter 4 explains the algorithm of particle swarm. Chapter 5 practices on the cases of purchasing fiber wire products by utilizing particle swarm optimization. Chapter 6 concludes with results.
