Article thumbnail
Location of Repository

GA-Based Parameter Tuning for Multi-Agent Systems

By Joseph Haas, Maxim Peysakhov and Spiros Mancoridis

Abstract

software system designers due to its dynamism and unpredictable nature. Network links can go up and down depending on a variety of physical factors, such as movement of hosts, terrain, weather, interference, or available battery power. Agent based systems, with their runtime flexibility, can adapt to such environments better than centralized systems [4]. On the other hand, the tuning and control of the agent based system is more complicated, due to the flexible and decentralized nature of Multi-Agent Systems (MAS). Since it is unlikely that the optimal agent population composition can be derived theoretically, a search based technique should be used to find acceptable suboptimal solutions rather then guaranteed optimal ones. Many references to the example of information dissemination or collection by agent based systems will be used throughout this paper. Envisio

Topics: General Terms, Management, performance, algorithms. Keywords, Software agents, GA optimization. 1. PROBLEM FORMULATION
Year: 2010
OAI identifier: oai:CiteSeerX.psu:10.1.1.152.9611
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.cs.bham.ac.uk/~wbl/... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.