An adaptive evolutionary approach for real-time vehicle routing and dispatching

DOI10.1016/J.COR.2013.01.022zbMath1348.90632OpenAlexW1999715008MaRDI QIDQ336366

Mohamed Barkaoui, Michel Gendreau

Publication date: 10 November 2016

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2013.01.022

zbMATH Keywords

genetic algorithmsdynamic vehicle routingadapting operator settings

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Discrete location and assignment (90B80)

Related Items (3)

Genetic algorithms in supply chain management: a critical analysis of the literature ⋮ Worst-case demand distributions in vehicle routing ⋮ Dynamic path optimization in sharing mode to relieve urban traffic congestion

Uses Software

• GALib

Cites Work

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• Analyzing bandit-based adaptive operator selection mechanisms
• Real-time vehicle routing: Solution concepts, algorithms and parallel computing strategies.
• A route-neighborhood-based metaheuristic for vehicle routing problem with time windows
• A parallel hybrid genetic algorithm for the vehicle routing problem with time windows
• A review of dynamic vehicle routing problems
• Metastrategy simulated annealing and tabu search algorithms for the vehicle routing problem
• Dynamic fleet management. Concepts, systems, algorithms \& case studies
• Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints
• Parallel Tabu Search for Real-Time Vehicle Routing and Dispatching
• Introduction to evolutionary computing

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