标题：Solution to earliness and tardiness hybrid flowshop scheduling problem by using adaptive genetic algorithm
作者：Lu Fei; Tian Guo-hui
作者机构：[Lu, F; Tian, GH]Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China.
会议名称：16th Chinese Control and Decision Conference
会议日期：MAY 29-JUN 01, 2004
来源：Proceedings of 2004 Chinese Control and Decision Conference
关键词：hybrid Flowshop scheduling; earliness and tamess; adaptive genetic; algorithm
摘要：The objective of earliness and tardiness hybrid Flowshop scheduling problem is to minimize the total earliness and tardiness cost about NP complete problem. Firstly mathematial model is presented, and then adaptive genetic algorithm is constructed to solve it. The simulation results show that this method not only has global convergence, but also quicken the compution of evolution, it is a good method for solving complex scheduling problem.