A Discrete Inspired Bat Algorithm for firetruck dispatch in emergency situationsA Discrete Inspired Bat Algorithm for firetruck dispatch in emergency situations
Κεφάλαιο σε Βιβλίο
Book Chapter
2022-05-192020enThis research is co-financed by Greece and the European Union (European Social Fund- ESF) through the Operational Programme “Human Resources Development, Education and Lifelong Learning” in the context of the project “Strengthening Human Resources Research Potential via Doctorate Research” (MIS-5000432), implemented by the State Scholarships Foundation (IKY).This research considers the case where a large fire has developed beyond the possibility of suppression and resources need to be deployed to reduce the risk to critical assets. Thus, to determine an optimal deployment of the firetrucks to multiple assets in a large area, a mathematical formulation is proposed, focusing on the maximization of the aggregated value of the protected assets that are critically selected, and on the minimization of the dispatch strategy cost. Moreover, the novelty of the presented formulation is the incorporation of the CO2 emissions of the firetrucks in the cost function, and, hence, the formulation of the Green-Prize Collecting Vehicle Routing Problem. Moreover, a hybrid Bat Algorithm (BA) is developed for the optimization of the aforementioned problem, namely the Discrete Inspired Bat Algorithm (DIBA). The effectiveness of the proposed algorithmic approach is demonstrated over computational experiments, in comparison with the results of a commercial exact solver.http://creativecommons.org/licenses/by/4.0/Springer Tracts in Civil EngineeringNatural Risk Management and Engineering: NatRisk Project
Trachanatzi Dimitra
Τραχανατζη Δημητρα
Rigakis Manousos
Ρηγακης Μανουσος
Marinaki Magdalini
Μαρινακη Μαγδαληνη
Marinakis Ioannis
Μαρινακης Ιωαννης
Springer Nature
Discrete bat algorithm
Prize-collecting vehicle routing problem
CO2 emissions