Introduction to The Dynamic Pickup and Delivery Problem Benchmark -- ICAPS 2021 Competition
Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan, Yuan, Hankz Hankui Zhuo
TL;DR
This paper introduces a new real-world benchmark and simulator for the Dynamic Pickup and Delivery Problem, supporting dynamic evaluation and fostering competition among researchers, thus advancing practical logistics research.
Contribution
It presents a novel benchmark and simulator based on real business scenarios for the DPDP, enabling more realistic and dynamic evaluation methods.
Findings
Supported ICAPS 2021 competition with 152 teams
Benchmark reflects real-world complexity
Facilitated research and development in logistics
Abstract
The Dynamic Pickup and Delivery Problem (DPDP) is an essential problem within the logistics domain. So far, research on this problem has mainly focused on using artificial data which fails to reflect the complexity of real-world problems. In this draft, we would like to introduce a new benchmark from real business scenarios as well as a simulator supporting the dynamic evaluation. The benchmark and simulator have been published and successfully supported the ICAPS 2021 Dynamic Pickup and Delivery Problem competition participated by 152 teams.
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Taxonomy
TopicsAdvanced Manufacturing and Logistics Optimization · Scheduling and Optimization Algorithms · Vehicle Routing Optimization Methods