E. Grace Mary Kanaga

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This paper describes an agent based approach to patient scheduling using experience based learning and an integer programming model. The evaluation on different learning techniques shows that the experience based learning (EBL) provides a better solution. The time required to process a particular job is reduced as the experience processed by it increases.(More)
Software Defined Networking (SDN) is a new approach in network architecture which decouples the control plane from data plane. The SDN controller has the global view of the underlying network, enabling enormous research works in the area of traffic engineering (TE). Existing congestion control solutions for SDN TE are either reactive or proactive in nature.(More)
An increase in specialization and technology, especially in the health care department has invariably resulted in a need for efficient management of the resources and more timely treatment for the patients. Agents are deployed to solve the patient scheduling problem in the hospitals because they work well in a distributed, decentralized and dynamic(More)
A software agent may be a member of a Multi-Agent System (MAS) which is collectively performing a range of complex and intelligent tasks. In the hospital, scheduling decisions are finding difficult to schedule because of the dynamic changes and distribution. In order to face this problem with dynamic changes in the hospital, a new method, Distributed(More)
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