基于食物链算法的新产品订单短期预测与优化  

Short-term Forecasting and Optimization of Orders for New Products Based on Food-chain Algorithm

作　　者：徐人鹤[1] 郭顺生[1] 

机构地区：[1]武汉理工大学机电工程学院,武汉430000

出　　处：《机械工程师》2013年第5期17-19,共3页Mechanical Engineer

基　　金：国家自然科学基金资助项目(71171154);中央高校基本科研业务费专项资金资助(2012_YB_11)

摘　　要：在新产品上市初期,由于可用时间序列数据较少,常用的时间序列分析方法不适用于此种情况的预测。食物链算法是一种借鉴生态环境中生物界的能量传递方式-食物链,提出的多模式协同进化的生态进化算法,可以使用此种方法将市场上有限的生产和销售商之间的竞争模拟为生态环境中生物食物链上各级生物的竞争,并最终对企业的订单作出预测和优化,但由于新产品市场变化快,该算法只适合短期预测。Early in the new produets come to market, due to less available time -series data, the time series analysis methods are not suitable for a case the forecast. The food-chain algorithm is a ecological evolutionary algorihm mode convolution. Biosphere energy transfer in ecological environment-food chain is presented. This method can analog competition between the limited production and vendors in the market tbr the trophic levels of biological competition in ecological environment. Finally, the orders of the enterprise are predicted and optimized. However, duo to the rapid changes in the market of new products, the algorithm is only suitabl for short-term forecasts.

关 键 词：食物链算法 新产品 订单 短期预测 优化 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]