The Orienteering Problem: A Review of Variants and Solution Approaches

dc.contributor.authorMishra, Abhishek
dc.date.accessioned2024-05-07T06:42:15Z
dc.date.available2024-05-07T06:42:15Z
dc.date.issued2022
dc.description.abstractOrienteering Problem (OP) fetched great attention in recent years because apart from the NP-hard routing problems, it is applicable in various applications like mobile crowd-sensing, manufacturing, etc. OP intends to maximize the overall price collected from the places covered in the itinerary within a timebound. In this paper, the latest improvements in NP-hard routing problems are discussed. Some variations of the traveling salesman problem (TSP), OP, and their recent solutions based on nature-inspired algorithms are explored. Finally, we present the future scope of the OP and its variants.en_US
dc.identifier.urihttps://www.iiis.org/CDs2022/CD2022Summer/papers/SA919CB.pdf&ved=2ahUKEwiO9rP09fqFAxV7bmwGHSnABhAQFnoECA8QAw&usg=AOvVaw1EvYfsIlJHbgykFJHAnvRa
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/14741
dc.language.isoenen_US
dc.publisherWMSCIen_US
dc.subjectComputer Scienceen_US
dc.subjectTraveling Salesman Problem (TSP)en_US
dc.subjectOrienteering Problem (OP)en_US
dc.subjectSet Orienteering Problem (SOP)en_US
dc.titleThe Orienteering Problem: A Review of Variants and Solution Approachesen_US
dc.typeArticleen_US

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