Particle Swarm Optimization for Batch Scheduling Problem in Flexible Workshop

Autor:	Qi Tang, Xiao Ye Zhou, Jian Xun Tang
Rok vydání:	2014
Předmět:	Job scheduler Mathematical optimization Computer science Scheduling (production processes) Particle swarm optimization General Medicine Multi-swarm optimization computer.software_genre computer
Zdroj:	Applied Mechanics and Materials. 697:465-468
ISSN:	1662-7482
DOI:	10.4028/www.scientific.net/amm.697.465
Popis:	This paper puts forward an improved optimization algorithm for batch scheduling problem in flexible workshop. Code is designed as batch selection probability of different production tasks and defined as production plan through effective decoding procedure. Simulation experiment on the performance of this algorithm is conducted in instances generated randomly. The results show that this algorithm has good performance.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bafbe9311409b8e607ab0aedae71b8ae https://doi.org/10.4028/www.scientific.net/amm.697.465 Zobrazit plný text záznamu