系统工程理论与实践
繫統工程理論與實踐
계통공정이론여실천
Systems Engineering—Theory & Practice
2012年
6期
1337~1345
,共null页
邓富民 梁学栋 刘爱军 包北方
鄧富民 樑學棟 劉愛軍 包北方
산부민 량학동 류애군 포북방
手术调度 多目标优化 改进非支配排序遗传算法 仿真
手術調度 多目標優化 改進非支配排序遺傳算法 倣真
수술조도 다목표우화 개진비지배배서유전산법 방진
surgical operation scheduling; multi-objective optimization; improved NSGA-II; simulation
针对手术调度涉及因素众多难以优化的问题,在考虑手术台、执刀医师等资源约束,构建了以病人满意度及手术总流程时间为目标函数的模糊调度数学模型.针对传统的加权系数方法不能很好地解决手术多目标优化问题,提出改进的非支配排序遗传算法(non-dominated sorting geneticalgorithmⅡ,NSGA-Ⅱ),采用改进的拥挤密度排序法改善同一非劣等级内个体的排序;提出自适应交叉和变异策略,克服了种群早熟化,改善算法收敛速度;采用改进精英策略保持种群多样性,改善算法搜索性能.最后,将该算法应用于某三甲医院手术模糊调度中,仿真结果证明该方法的有效性和可行性.
針對手術調度涉及因素衆多難以優化的問題,在攷慮手術檯、執刀醫師等資源約束,構建瞭以病人滿意度及手術總流程時間為目標函數的模糊調度數學模型.針對傳統的加權繫數方法不能很好地解決手術多目標優化問題,提齣改進的非支配排序遺傳算法(non-dominated sorting geneticalgorithmⅡ,NSGA-Ⅱ),採用改進的擁擠密度排序法改善同一非劣等級內箇體的排序;提齣自適應交扠和變異策略,剋服瞭種群早熟化,改善算法收斂速度;採用改進精英策略保持種群多樣性,改善算法搜索性能.最後,將該算法應用于某三甲醫院手術模糊調度中,倣真結果證明該方法的有效性和可行性.
침대수술조도섭급인소음다난이우화적문제,재고필수술태、집도의사등자원약속,구건료이병인만의도급수술총류정시간위목표함수적모호조도수학모형.침대전통적가권계수방법불능흔호지해결수술다목표우화문제,제출개진적비지배배서유전산법(non-dominated sorting geneticalgorithmⅡ,NSGA-Ⅱ),채용개진적옹제밀도배서법개선동일비렬등급내개체적배서;제출자괄응교차화변이책략,극복료충군조숙화,개선산법수렴속도;채용개진정영책략보지충군다양성,개선산법수색성능.최후,장해산법응용우모삼갑의원수술모호조도중,방진결과증명해방법적유효성화가행성.
The optimization of operation scheduling is a tough work for many factors involved. To address it, a fuzzy scheduling model is presented with the object of a patient satisfaction and total operation time, which the operation platform, knife physicians and other resource constraints are covered. An improved non-dominated sorting genetic algorithm II (NSGA-II) is proposed in view of the traditional weighted coefficient method can not well address the problem of multi-objective optimization operation. The improved crowded density scheduling method is taken to improve the individual ranking within the non-inferior grade; a new adaptive crossover and mutation strategy is presented to avoid the population precocity and increase the convergence speed; the improved elite strategy is used to maintain the diversity of population and improve the algorithm performance. Finally, the algorithm is applied to an assigned hospital's operation fuzzy scheduling, and the simulation results validate the feasibility and effectiveness of the method.