Pickup and delivery problem in the collaborative city courier service by using genetic algorithm and nearest distance (doi:10.34820/FK2/3X9FNO)

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Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Pickup and delivery problem in the collaborative city courier service by using genetic algorithm and nearest distance

Identification Number:

doi:10.34820/FK2/3X9FNO

Distributor:

Telkom University Dataverse

Date of Distribution:

2022-07-14

Version:

1

Bibliographic Citation:

Purba Daru Kusuma; Meta Kallista, 2022, "Pickup and delivery problem in the collaborative city courier service by using genetic algorithm and nearest distance", https://doi.org/10.34820/FK2/3X9FNO, Telkom University Dataverse, V1

Study Description

Citation

Title:

Pickup and delivery problem in the collaborative city courier service by using genetic algorithm and nearest distance

Identification Number:

doi:10.34820/FK2/3X9FNO

Authoring Entity:

Purba Daru Kusuma (Telkom University)

Meta Kallista (Telkom University)

Distributor:

Telkom University Dataverse

Access Authority:

DARU KUSUMA, PURBA

Depositor:

DARU KUSUMA, PURBA

Date of Deposit:

2022-07-14

Study Scope

Keywords:

Computer and Information Science

Abstract:

This work aimed to propose a novel collaborative PDP model which minimizes total travel distance while maintains low outsourced jobs.

Methodology and Processing

Sources Statement

Data Access

Notes:

CC0 Waiver

Other Study Description Materials

Related Publications

Citation

Identification Number:

10.11591/eei.v11i2.3223

Bibliographic Citation:

P. D. Kusuma and M. Kallista, "Pickup and delivery problem in the collaborative city courier service by using genetic algorithm and nearest distance", Bulletin of Electrical Engineering and Informatics, 11(2), 1026-1036, 2022.

Other Study-Related Materials

Label:

pickupdeliverypublished.pdf

Notes:

application/pdf