Ambulance routing in disaster response considering variable patient condition: NSGA-II and MOPSO algorithms

DOI10.3934/jimo.2021007zbMath1499.90032OpenAlexW3122682617MaRDI QIDQ2076371

Nastaran Oladzad-Abbasabady, Niloofar Akbarian-Saravi, Masoud Rabbani

Publication date: 16 February 2022

Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/jimo.2021007

zbMATH Keywords

NSGA-IIMILPambulance routingMOPSOpatient groups

Mathematics Subject Classification ID

Mixed integer programming (90C11) Transportation, logistics and supply chain management (90B06)

Related Items (5)

A robust multi-objective model for managing the distribution of perishable products within a green closed-loop supply chain ⋮ Online optimisation for ambulance routing in disaster response with partial or no information on victim conditions ⋮ Dynamic reversible lane optimization in autonomous driving environments: balancing efficiency and safety ⋮ A new group decision-making framework based on 2-tuple linguistic complex \(q \)-rung picture fuzzy sets ⋮ Path planning for guided passengers during evacuation in subway station based on multi-objective optimization

Cites Work

• Models, solutions and enabling technologies in humanitarian logistics
• Ambulance routing for disaster response with patient groups
• A hybrid PSO-GA algorithm for constrained optimization problems
• Parameter setting in evolutionary algorithms.
• Joint ground and air emergency medical services coverage models: a greedy heuristic solution approach
• A taxonomy for emergency service station location problem
• Solving the dynamic ambulance relocation and dispatching problem using approximate dynamic programming
• An improved version of the augmented \(\varepsilon\)-constraint method (AUGMECON2) for finding the exact Pareto set in multi-objective integer programming problems
• The facility and transfer points location problem
• Exact optimal solutions of the minisum facility and transfer points location problems on a network
• Decision support tools for ambulance dispatch and relocation
• MINISUM AND MINIMAX LOCATION MODELS FOR HELICOPTER EMERGENCY MEDICAL SERVICE SYSTEMS
• A dynamic model and parallel tabu search heuristic for real-time ambulance relocation

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