About: Vehicle route planning in e-waste mobile collection on demand supported by artificial intelligence algorithms

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scholarly article by Piotr Nowakowski et al published August 2018 in Transportation Research Part D: Transport and Environment

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в серпні 2018 (uk) article scientifique publié en 2018 (fr) im August 2018 veröffentlichter wissenschaftlicher Artikel (de) scholarly article by Piotr Nowakowski et al published August 2018 in Transportation Research Part D: Transport and Environment (en)
publication date	wds:Q62639591-EEA49792-5C2E-45E3-89AE-44EA9CD6574F
publication date	2018-08-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q62639591-135F0087-3C1B-4B68-8718-1DB8E36AF923 wds:Q62639591-16584247-1AF3-4F8A-A3EE-F41BF3651BFC wds:Q62639591-2B366C8C-6082-473E-855A-CA2187A3CDFB wds:Q62639591-2DBC8E24-F292-41D5-9E93-E4468050A14C wds:Q62639591-378DC51C-86C8-4557-BA11-3C6F2904F33A wds:Q62639591-407D1F7A-7932-4526-9307-7D75684A2A16 wds:Q62639591-46EDCBC0-D5B4-453A-ACCB-64FDA154FAAA wds:Q62639591-7E36A0FD-FAC8-4580-80AB-86A6BDD38CB7 wds:Q62639591-86643F15-678D-461A-B751-4411D587B0B5 wds:Q62639591-89041365-DBCF-4CB2-ADB7-299FCBBE5660 wds:Q62639591-8ED70723-6F74-446E-A8FF-A964C4E4F332 wds:Q62639591-977F0325-28AB-4F8B-A0E1-77A2E74B4BD9 wds:Q62639591-98128AE2-57FB-4279-9C06-A1BA75620D10 wds:Q62639591-A510C50B-7E12-4373-8FE1-A59E38FF354D wds:Q62639591-A615C793-0C5D-4D2D-924D-F5512FA627C2 wds:Q62639591-A89A4112-5A79-4862-9461-96C9FE3CD8C0 wds:Q62639591-BA664A79-A798-4111-9753-EAFF0289D6B6 wds:Q62639591-C3ADD58E-1147-4F0D-B651-191330F59611 wds:Q62639591-C523041A-B207-4B8A-8B86-74FA4FA9121B wds:Q62639591-CB91E5D6-2B39-4E83-9BEE-20B4A46EDEDE wds:Q62639591-D36EAAA3-9133-4908-9B6F-242B509EBEA6 wds:Q62639591-FE74EF12-9B8A-4304-9C11-2A0D1CAEBC17
cites work	Optimization by Simulated Annealing Diesel consumption in waste collection and transport and its environmental significance An Effective Heuristic Algorithm for the Traveling-Salesman Problem Household recycling behaviour and attitudes towards the disposal of small electrical and electronic equipment Behavior of urban residents toward the discarding of waste electrical and electronic equipment: a case study in Baoding, China Optimisation of MSW collection routes for minimum fuel consumption using 3D GIS modelling Waste collection multi objective model with real time traceability data Residents' behaviors, attitudes, and willingness to pay for recycling e-waste in Macau How to improve WEEE management? Novel approach in mobile collection with application of artificial intelligence The influence of residents' behaviour on waste electrical and electronic equipment collection effectiveness Optimizing route choice for lowest fuel consumption – Potential effects of a new driver support tool A new hybrid method based on Particle Swarm Optimization, Ant Colony Optimization and 3-Opt algorithms for Traveling Salesman Problem Willingness to engage in a pro-environmental behavior: An analysis of e-waste recycling based on a national survey of U.S. households High-quality collection and disposal of WEEE: Environmental impacts and resultant issues Household Willingness to Recycle Electronic Waste A proposal to improve e-waste collection efficiency in urban mining: Container loading and vehicle routing problems - A case study of Poland Increasing diversion of household hazardous wastes and materials through mandatory retail take-back Supporting mobile WEEE collection on demand: A method for multi-criteria vehicle routing, loading and cost optimisation. Performance analyses over population seeding techniques of the permutation-coded genetic algorithm: An empirical study based on traveling salesman problems Ant Colony Extended: Experiments on the Travelling Salesman Problem An improved discrete bat algorithm for symmetric and asymmetric Traveling Salesman Problems wd:Q62637480
author name string	wds:Q62639591-2C6871BC-0912-4834-9692-37BD122165CC wds:Q62639591-34C02449-4F2F-4277-BDA8-1FF85E95211B wds:Q62639591-9C9A56FA-198A-4F72-AA52-829A7BF738EF
author name string	Krzysztof Szwarc Piotr Nowakowski Urszula Boryczka
rdfs:label	Vehicle route planning in e-waste mobile collection on demand supported by artificial intelligence algorithms (en) Vehicle route planning in e-waste mobile collection on demand supported by artificial intelligence algorithms (nl)
skos:prefLabel	Vehicle route planning in e-waste mobile collection on demand supported by artificial intelligence algorithms (en) Vehicle route planning in e-waste mobile collection on demand supported by artificial intelligence algorithms (nl)
name	Vehicle route planning in e-waste mobile collection on demand supported by artificial intelligence algorithms (en) Vehicle route planning in e-waste mobile collection on demand supported by artificial intelligence algorithms (nl)
title	wds:Q62639591-FB532033-40AA-4BE9-8409-93CC2D339529
title	Vehicle route planning in e-waste mobile collection on demand supported by artificial intelligence algorithms (en)
page(s)	wds:Q62639591-9D18F884-368C-41CD-A45A-E870771F3F2B
page(s)	1-22
instance of	wds:Q62639591-6B594737-CA14-448B-BB44-23648833CC16
instance of	scholarly article
main subject	wds:Q62639591-04EEC3BB-7952-4292-AD46-EC81454329A3 wds:Q62639591-0C76B0CE-9B1C-4C86-A55A-0E702E5924E8 wds:Q62639591-670A1C99-E22C-414F-94DB-31B11F8B7D3D
main subject	electronic waste artificial intelligence algorithm
published in	wds:Q62639591-9CC644C7-D4D4-4B8A-AA28-D3EA7A4E7483
published in	Transportation Research Part D: Transport and Environment
volume	wds:Q62639591-9C8DF5D1-E3C2-41D0-904D-339C53852630
volume	63
DOI	wds:Q62639591-B86CB7DA-AD7A-44E8-9B2A-7028F64A86DF
DOI	http://dx.doi.org/10.1016/J.TRD.2018.04.007
DOI	10.1016/J.TRD.2018.04.007
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q62639591
is cites work of	Application of deep learning object classifier to improve e-waste collection planning Optimization and profit distribution in a two-echelon collaborative waste collection routing problem from economic and environmental perspective
is cites work of	wds:Q94495707-921B3A42-A881-4E7B-BAC5-AC552A6C71AA wds:Q101131324-BBE021FB-0918-4A73-995B-EE8B7E0E3936

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