%0 Journal Article %1 egracemarykanaga2010coordinated %A E.Grace Mary Kanaga, M.L.Valarmathi %A Rose, J.Dhiviya %D 2010 %E Das, Dr. Vinu V %J International Journal on Communication %K Agents Customer_Satisfaction Operational_Efficiency Patient_Scheduling %N 3 %P 3 %T Coordinated Multi-Agents Based Patient Scheduling Using Genetic Algorithm %U http://doi.searchdl.org/01.IJCOM.1.3.199 %V 1 %X Scheduling is inevitable and an integral part of hospital management. Effective patient scheduling can improve hospital service quality by minimizing the waiting/stay time for patients in the hospital and operation efficiency by optimizing the utilization of resources. However, in practice, the schedulers usually take substantial amount of time to do the scheduling manually and also by using various traditional scheduling algorithms. Motivated by the real needs in hospital environments this paper focuses on finding an optimal schedule using search based optimization techniques like Genetic Algorithm (GA) and multi-Agents. Agents have been proved to be an effective approach to resource allocation because of its coordination and social abilities. Exact methods such as branch and bound method, and dynamic programming take considerable computing time and hardware requirements in this application domain. Considering the crucial time in the hospital environments, combinatorial search space algorithms (like GA) with precedence constraints have been selected to find a good solution with the following objectives: Customer satisfaction and Operational Efficiency. Customer satisfaction is achieved by minimizing the waiting time for patients and operational efficiency by minimizing the idle time of the resource.

@article{egracemarykanaga2010coordinated, abstract = {Scheduling is inevitable and an integral part of hospital management. Effective patient scheduling can improve hospital service quality by minimizing the waiting/stay time for patients in the hospital and operation efficiency by optimizing the utilization of resources. However, in practice, the schedulers usually take substantial amount of time to do the scheduling manually and also by using various traditional scheduling algorithms. Motivated by the real needs in hospital environments this paper focuses on finding an optimal schedule using search based optimization techniques like Genetic Algorithm (GA) and multi-Agents. Agents have been proved to be an effective approach to resource allocation because of its coordination and social abilities. Exact methods such as branch and bound method, and dynamic programming take considerable computing time and hardware requirements in this application domain. Considering the crucial time in the hospital environments, combinatorial search space algorithms (like GA) with precedence constraints have been selected to find a good solution with the following objectives: Customer satisfaction and Operational Efficiency. Customer satisfaction is achieved by minimizing the waiting time for patients and operational efficiency by minimizing the idle time of the resource.}, added-at = {2012-09-27T09:21:47.000+0200}, author = {E.Grace Mary Kanaga, M.L.Valarmathi and Rose, J.Dhiviya}, biburl = {https://www.bibsonomy.org/bibtex/206b991d89e310bcd106200e3873d7bad/ideseditor}, editor = {Das, Dr. Vinu V}, interhash = {9bdcaf05a2706cedaeb8825e31938eb8}, intrahash = {06b991d89e310bcd106200e3873d7bad}, journal = {International Journal on Communication}, keywords = {Agents Customer_Satisfaction Operational_Efficiency Patient_Scheduling}, month = {December}, number = 3, pages = 3, timestamp = {2012-09-27T09:21:47.000+0200}, title = {Coordinated Multi-Agents Based Patient Scheduling Using Genetic Algorithm}, url = {http://doi.searchdl.org/01.IJCOM.1.3.199}, volume = 1, year = 2010 }