Title :
An Adaptive Immune Algorithm Based on Regulation Laws of Hormone in the Endocrine System for Scheduling Problems of Flow Shop
Author :
Yi, Wang ; Xingsheng, Gu ; Zhenhao, Xu
Author_Institution :
East China Univ. of Sci. & Technol., Shanghai
Abstract :
A new model which describes the flow shop scheduling problems with unlimited intermediate storage in the batch plant is constructed. A novel adaptive endocrine & immune algorithm (EIA) is first proposed based on the regulation laws of hormone in the endocrine system. The simulation results show the convergence rate and search precision of EIA are better than those of the improved immune algorithm, thus verifying the validity and excellence of EIA approach.
Keywords :
artificial immune systems; batch processing (industrial); flow shop scheduling; adaptive endocrine system; adaptive immune algorithm; flow shop scheduling; hormone; Adaptive control; Automatic control; Biochemistry; Electronic mail; Endocrine system; Job shop scheduling; Mathematical model; Programmable control; Scheduling algorithm; Storage automation; endocrine; flow shop; immune algorithm; production scheduling; unlimited intermediate storage;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347214
