Title :
Adaptive scheduling system inspired by immune system
Author :
Mori, Kazuyuki ; Tsukiyama, Makoto ; Fukuda, Toyoo
Author_Institution :
Ind. Electron. & Syst. Lab., Mitsubishi Electr. Corp., Hyogo, Japan
Abstract :
An immune system has powerful abilities such as memory, recognition and learning to respond to invading antigens, and artificial immunity-based systems are expected to be applicable to many engineering applications. This paper proposes an optimization algorithm imitating the immune system to solve the scheduling problem. The proposed algorithm is shown to be effective for multi-optimization such as a scheduling problem with variable batch sizes
Keywords :
adaptive systems; learning systems; optimisation; production control; adaptive scheduling system; immune system; invading antigens; learning; memory; multi-optimization; recognition; variable batch sizes; Adaptive scheduling; Batch production systems; Immune system; Industrial electronics; Job shop scheduling; Laboratories; Manufacturing systems; Power engineering and energy; Scheduling algorithm; Time factors;
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4778-1
DOI :
10.1109/ICSMC.1998.726685
