生產(chǎn)作業(yè)計劃仿真優(yōu)化研究

將仿真技術(shù)和遺傳算法相結(jié)合,根據(jù)生產(chǎn)車間的資源情況、優(yōu)化目標(biāo)等建立了生產(chǎn)調(diào)
度仿真模型，然后對仿真輸出結(jié)果進(jìn)行統(tǒng)計，針對統(tǒng)計結(jié)果應(yīng)用遺傳算法對調(diào)度決策進(jìn)行優(yōu)化。仿真優(yōu)化結(jié)果說明了該集成優(yōu)化方法是有效性的。
關(guān)鍵詞：遺傳算法；生產(chǎn)調(diào)度；仿真優(yōu)化
Abstract：This paper presents a method of integrating optimization algorithm into simulation
model to optimize the production scheduling problem. According to resources constraints and
optimization objective, several simulation models of the production scheduling problem are
developed, and genetic algorithm is applied to the simulation outputs to optimize the production scheduling problem. The optimization results show that the method is valid.
Key words：genetic algorithm； production scheduling problem； simulation optimisation