Hybrid Multi-agent Architecture (HMAA) for Meeting Scheduling

Date

2010-06-27

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

IEEE

Type

Conference

Peer reviewed

Yes

Abstract

This paper presents a novel multi-agent architecture for meeting scheduling. The proposed architecture is a new Hybrid Multi-Agent Architecture (HMAA) that generates new heuristics for solving NP-hard problems. Moreover, the paper investigates the feasibility of running computationally intensive algorithms on multi-agent architectures while preserving the ability of small agents to run on small devices, including mobile devices. Three experimental groups are conducted in order to test the feasibility of the proposed architecture. The results show that the performance of the proposed architecture is better than those of many existing meeting scheduling frameworks. Moreover, it has been proved that HMAA preserves small agents' mobility (i.e. the ability to run on small devices) while implementing evolutionary algorithms.

Description

Keywords

genetic programming, heuristic, meeting scheduling, multiagent

Citation

Al-ratrout, S. et al. (2010) Hybrid Multi-agent Architecture (HMAA) for Meeting Scheduling. 2010 7th International Multi-Conference on Systems Signals and Devices (SSD),

Rights

Research Institute

Cyber Technology Institute (CTI)