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Melomey, Divina A (2012)
Languages: English
Types: Doctoral thesis
Mobile agents are a particular type of agents that have all the characteristics of\ud an agent and also demonstrate the ability to move or migrate from one node to\ud another in a network environment. Mobile agents have received considerable\ud attention from industry and the research community in recent times due to the\ud fact that their special characteristic of migration help address issues such as\ud network overload, network latency and protocol encapsulation. Due to the current\ud focus in exploiting agent technology mainly in a research environment, there has\ud been an influx of software engineering methodologies for developing multi-agent\ud systems. However, little attention has been given to modelling mobile agents. For\ud mobile agent-based systems to become more widely accepted there is a critical\ud need for a methodology to be developed to address various issues related to\ud modelling mobility of agent . This research study provides an overview of the\ud current approaches, methodologies and modelling languages that can be used\ud for developing multi-agent systems. The overview indicates extensive research\ud on methodologies for modelling multi-agent systems and little on mobility in\ud mobile agent-based systems. An original contribution in this research known as\ud Mobile agent-based Mobility Methodology (MaMM) is the methodology for\ud modelling mobility in mobile agent-based systems using underlying principles of\ud Genetic Algorithms (GA) with emphasis on fitness functions and genetic\ud representation. Delphi study and case studies were employed in carrying out this\ud research.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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