系统工程理论与实践
繫統工程理論與實踐
계통공정이론여실천
Systems Engineering—Theory & Practice
2009年
2期
~
,共null页
物流配送 车辆路径问题 模糊可信性 随机模拟 差分进化 优化
物流配送 車輛路徑問題 模糊可信性 隨機模擬 差分進化 優化
물류배송 차량로경문제 모호가신성 수궤모의 차분진화 우화
logistics distribution; vehicle routing problem; fuzzy credibility; stochastic simulation; differential evolution; optimization;
研究具有模糊需求的车辆路径问题,建立基于模糊可信性理论的模糊机会约束规划模型,提出求解该问题的一种基于随机模拟的混合差分进化算法.同时,在车辆行驶总距离最小的目标下,运用随机模拟方法研究决策者主观偏好值对最终决策目标的影响,并给出最佳主观偏好值.
研究具有模糊需求的車輛路徑問題,建立基于模糊可信性理論的模糊機會約束規劃模型,提齣求解該問題的一種基于隨機模擬的混閤差分進化算法.同時,在車輛行駛總距離最小的目標下,運用隨機模擬方法研究決策者主觀偏好值對最終決策目標的影響,併給齣最佳主觀偏好值.
연구구유모호수구적차량로경문제,건립기우모호가신성이론적모호궤회약속규화모형,제출구해해문제적일충기우수궤모의적혼합차분진화산법.동시,재차량행사총거리최소적목표하,운용수궤모의방법연구결책자주관편호치대최종결책목표적영향,병급출최가주관편호치.
In this paper,the vehicle routing problem with fuzzy demands is considered.A fuzzy chance constrained program model is designed based on fuzzy credibility theory.Stochastic simulation and an improved differential evolution algorithm are integrated to design a hybrid intelligent algorithm to solve the fuzzy vehicle routing model.Moreover,the influence of the decision-maker s preference on the final objective of the problem is discussed using the method of stochastic simulation,and the rational range of the p...
