The scheduling problem in real factory manufacturing systems is comprised of number of parallel machines. Each machine is capable of processing several tasks, but it may need extra costs if the current machine state should be changed to perform a different task with the current performing task. In that case, minimizing such changes with maintaining some desired performance is recommended for maximizing the overall system performance. This paper concerns a dynamic scheduling problem and scheduling algorithm is proposed based on agentbased approaches inspired from division of labor in several social insects. Depending on the stimulus of task and the corresponding threshold value, individual agent will or will not perform task. The appropriate threshold for an effective scheduling is obtained by pheromone-based approach that uses the information about processed tasks in each individual agent, and the simulation results show that the performance of the proposed approach is comparable with other conventional methods.
|Title of host publication||Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|Publication status||Published - 2016 Feb 2|
|Event||2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT Workshops 2015 - Singapore, Singapore|
Duration: 2015 Dec 6 → 2015 Dec 9
|Name||Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015|
|Other||2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT Workshops 2015|
|Period||15/12/6 → 15/12/9|
Bibliographical noteFunding Information:
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MEST) (No. 2014R1A2A1A11053839).
© 2015 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications