Modified particle swarm optimization in a time-dependent vehicle routing problem: minimizing fuel consumption

DOI10.1007/s11590-015-0996-yzbMath1373.90141OpenAlexW2292756332MaRDI QIDQ2361135

Narges Norouzi, Mohsen Sadegh-Amalnick, Reza Tavakkoli-Moghaddam

Publication date: 29 June 2017

Published in: Optimization Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11590-015-0996-y

zbMATH Keywords

optimizationtransportationfuel consumptionvehicle routing problemmathematical modellingmodified particle swarm optimization

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (7)

Optimizing the composite cost involved in road motor-transporting trucks by taking into account traffic condition ⋮ Consideration of triple bottom line objectives for sustainability in the optimization of vehicle routing and loading operations: a systematic literature review ⋮ Electric vehicle routing problem with time-dependent waiting times at recharging stations ⋮ The role of operational research in green freight transportation ⋮ Objectives and methods in multi-objective routing problems: a survey and classification scheme ⋮ A time-dependent Green location-routing problem with variable speed of vehicles ⋮ Dynamic multi-stage failure-specific cooperative recourse strategy for logistics with simultaneous pickup and delivery

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