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https://hdl.handle.net/10356/139042
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhou, Huici | en_US |
dc.date.accessioned | 2020-05-15T02:44:27Z | - |
dc.date.available | 2020-05-15T02:44:27Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | https://hdl.handle.net/10356/139042 | - |
dc.description.abstract | Planning is a category under Artificial Intelligence and the target of the planning is to find reasonable plans to achieve the specific goals from the initial state. PDDL (Planning Domain Definition Language) is a high-level modeling language to standardize artificial intelligence planning language and also to express planning models. PDDL is used to solve a series of realistic problems while this report is to get use of PDDL as a method to solve Vehicle Routing Problem. Vehicle Routing Problem (VRP) is defined as “Finding optimal set of routes for a vehicle to traverse in order to collect the packages from a set of customers and eventually return to depot.” This problem is a classical logistics problem and it involves common variables like location (different customers), transport means (number of car, car capacity), load and etc. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Nanyang Technological University | en_US |
dc.relation | P2016-181 | en_US |
dc.subject | Engineering::Electrical and electronic engineering | en_US |
dc.title | Transportation planning using PDDL | en_US |
dc.type | Final Year Project (FYP) | en_US |
dc.contributor.supervisor | Meng-Hiot Lim | en_US |
dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
dc.description.degree | Bachelor of Engineering (Electrical and Electronic Engineering) | en_US |
dc.contributor.supervisoremail | emhlim@ntu.edu.sg | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
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Project_No_P2016-181_TRANSPORTATION_PLANNING_USING_PDDL.docx.pdf Restricted Access | 1.62 MB | Adobe PDF | View/Open |
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