Meta-heuristics tunning using CBR for dynamic scheduling

Pereira, Ivo; Madureira, Ana Maria

http://hdl.handle.net/10400.22/1489

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
COM_IvoPereira_2010_GECAD.pdf		356.26 KB	Adobe PDF	Download

Send Feedback

Authors

Pereira, Ivo

Madureira, Ana Maria

Abstract(s)

This paper addresses the problem of Biological Inspired Optimization Techniques (BIT) parameterization, considering the importance of this issue in the design of BIT especially when considering real world situations, subject to external perturbations. A learning module with the objective to permit a Multi-Agent Scheduling System to automatically select a Meta-heuristic and its parameterization to use in the optimization process is proposed. For the learning process, Casebased Reasoning was used, allowing the system to learn from experience, in the resolution of similar problems. Analyzing the obtained results we conclude about the advantages of its use.