A Hybrid Genetic Algorithm for Multidepot and Periodic Vehicle Routing Problems

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Rich vehicle routing problems: From a taxonomy to a definition (2015, background): “(2011), Vidal et al. (2012), and Michallet, Prins, Amodeo, Yalaoui, and Vitry (2014). Campbell and Wilson (2014) and Francis,”
A unified solution framework for multi-attribute vehicle routing problems (2014, methodology): “To regularly introduce new genetic material, these population management mechanisms are completed by diversification phases (Vidal et al. 2013a, 2012a) which take place after each Itdiv successive iterations without improvement of the best solution, and consist in retaining the best μ/3 individuals ”
New benchmark instances for the Capacitated Vehicle Routing Problem (2017, methodology): “However, most recent state-of-the-art methods for the CVRP [21, 32] did not.”
A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time-windows (2013, methodology): “The PIX crossover (Vidal et al. 2011b) is used for the PVRPTW.”
Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood (2020, methodology): “We conducted an extensive computational campaign to compare the convergence of the proposed HGS-CVRP algorithm with that of the original HGS (Vidal et al. 2012) and other algorithms provided to us by their authors, using the same computational platform.”