列生成
皮卡
水准点(测量)
算法
本德分解
计算机科学
分解法(排队论)
数学优化
分解
匹配(统计)
组合优化
集合(抽象数据类型)
先验与后验
栏(排版)
离散化
数学
人工智能
离散数学
图像(数学)
帧(网络)
认识论
数学分析
哲学
统计
生物
电信
程序设计语言
地理
生态学
大地测量学
作者
Yannik Rist,Michael A. Forbes
标识
DOI:10.1016/j.cor.2021.105649
摘要
In Pickup-and-Delivery Problems (PDP), one must design a set of vehicle routes that visit matching pickup and delivery locations. The Selective Dial-A-Ride Problem (SDARP) is a PDP which aims to serve as many pickup–delivery pairs as possible, where each pair has a time window and a maximum ride time. This paper introduces Extended Fragments to solve the SDARP. Extended Fragments stem from a subclass of vehicle routes which can be directly enumerated. An Extended Fragment formulation for the SDARP is proposed and solved using Combinatorial Benders Decomposition, augmented by a time discretisation and a novel variable-fixing technique. This algorithm, along with other recent ‘fragment’-based methods for PDP, is an a priori column generation method, combined with Combinatorial Benders Decomposition. The new method solves the existing benchmark for the SDARP, including 11 previously-unsolved instances.
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