A grouping genetic algorithm for multi depot pickup and delivery problems with time windows and heterogeneous vehicle fleets

DOI10.1007/978-3-030-43680-3_10zbMath1486.90044OpenAlexW3015576571MaRDI QIDQ2057127

Julia Rieck, Cornelius Rüther

Publication date: 8 December 2021

Full work available at URL: https://doi.org/10.1007/978-3-030-43680-3_10

zbMATH Keywords

rich vehicle routingcombinatorial optimization modelmulti-depot pickups and deliveries

Mathematics Subject Classification ID

Evolutionary algorithms, genetic algorithms (computational aspects) (68W50) Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27)

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Using decomposition-based multi-objective algorithm to solve selective pickup and delivery problems with time windows ⋮ Pickup and delivery problems with autonomous vehicles on rings

Uses Software

• VRP

Cites Work

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• Collaborative vehicle routing: a survey
• A grouping genetic algorithm for the pickup and delivery problem with time windows
• The General Pickup and Delivery Problem
• Introduction to evolutionary computing

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