Logo image
整合資料挖礦與遺傳演算法之混合式排程求解方法及實證
Thesis

整合資料挖礦與遺傳演算法之混合式排程求解方法及實證

胡志翰
Masters, 國立清華大學, 工業工程與工程管理學系
2003

Abstract

醫療服務 復健 排程 混合式排程 屬性歸納 基因演算法 Hospital Management Rehabilitation Scheduling Hybrid Shop Attribute-oriented induction Genetic Algorithms
Besides excellent medical techniques, perfect service has became the core competence. The hospitals emphasize service quality than ever recently. Providing considerable medical service is more important than advanced medical equipments. Hospitals do the best to improve service quality that is always the key factor to choice the hospital. The engineers can also use scientific methods to find proper resource distribution and enhance the service quality. This research use scientific methods to construct the learning rules for physical therapy scheduling problem. This study use attribute oriented induction methods to extract the pattern based on GA methods and construct the potential rules in therapy scheduling problem. This method provides the advantages of efficiency and near optimal solution on GA. Finally, we have a numerical illustration in physical therapy scheduling problem based on results from proposed learning rules. And the experimental results show that proposed methods can improve the efficiency and cost to find the near optimal solution in such scheduling problem.

Metrics

1 Record Views

Details

Logo image