Case-based reasoning for Self-Optimizing behavior

Author

Pereira, Ivo ; Madureira, Ana

Author_Institution

Sch. of Eng., Comput. Sci. Dept., Univ. of Porto, Porto, Portugal

fYear

2010

fDate

10-13 Oct. 2010

Firstpage

4236

Lastpage

4243

Abstract

In this paper we present a Self-Optimizing module, inspired on Autonomic Computing, acquiring a scheduling system with the ability to automatically select a Meta-heuristic to use in the optimization process, so as its parameterization. Case-based Reasoning was used so the system may be able of learning from the acquired experience, in the resolution of similar problems. From the obtained results we conclude about the benefit of its use.

Keywords

case-based reasoning; learning (artificial intelligence); multi-agent systems; scheduling; autonomic computing; case-based reasoning; learning technique; optimization process; scheduling system; self-optimizing behavior; Annealing; Gallium; Case-based Reasoning; Multi-Agent Learning; Self-Optimizing;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1062-922X

Print_ISBN

978-1-4244-6586-6

Type

conf

DOI

10.1109/ICSMC.2010.5642493

Filename

5642493

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3190535