01760nam 2200385 450 991068823760332120230704131821.0(CKB)5850000000050277(NjHacI)995850000000050277(EXLCZ)99585000000005027720230704d2022 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierApplication of Ant Colony Optimization /edited by Ali SoofastaeiLondon :IntechOpen,2022.©20221 online resource (xi, 90 pages) illustrations1-83968-178-0 Includes bibliographical references.The application of advanced analytics in science and technology is rapidly expanding, and developing optimization technics is critical to this expansion. Instead of relying on dated procedures, researchers can reap greater rewards by utilizing cutting-edge optimization techniques like population-based metaheuristic models, which can quickly generate a solution with acceptable quality. Ant Colony Optimization (ACO) is one the most critical and widely used models among heuristics and meta-heuristics. This book discusses ACO applications in Hybrid Electric Vehicles (HEVs), multi-robot systems, wireless multi-hop networks, and preventive, predictive maintenance.Mathematical modelsAnt algorithmsMathematical models.Ant algorithms.511.8Soofastaei AliNjHacINjHaclBOOK9910688237603321Application of Ant Colony Optimization3122469UNINA