Paper Info
Title
Intelligent Scheduling Algorithm and Application in Modernizing Manufacturing Services
Abstract
Abstract-An intelligent scheduling algorithm based on multiagentsand genetic algorithm is proposed to overcome flexiblejob-shop automation and optimization problems inmanufacturing industry. The algorithm is made of amanagement-agent, a scheduling-agent and machine-agents.Static scheduling is realized by a customized genetic algorithm,while dynamic scheduling is realized by these coordinativeagents. Several scenarios are used to illustrate that the proposedsystem is practical, efficient and advanced.
Year
DOI
Venue
2011
10.1109/SCC.2011.123
IEEE SCC
Keywords
Field
DocType
multiagentsand genetic algorithm,dynamic scheduling,modernizing manufacturing services,static scheduling,abstract-an intelligent scheduling algorithm,optimization problem,flexiblejob-shop automation,customized genetic algorithm,intelligent scheduling algorithm,optimization problems,genetic algorithm,genetic algorithms,manufacturing industry,job shop scheduling,manufacturing,scheduling algorithm
Job shop scheduling,Fair-share scheduling,Scheduling (computing),Computer science,Flow shop scheduling,Two-level scheduling,Scheduling (production processes),Genetic algorithm scheduling,Dynamic priority scheduling,Distributed computing
Conference
Citations 
PageRank 
References 
2
0.37
6
Authors
3
Name
Order
Citations
PageRank
Yaojun Chen19131.73
Liang-Jie Zhang2982138.17
Qian Wang38427.81