A capacitated biobjective location problem with uniformly distributed demands in the UAV‐supported delivery operation-Reference-Cited by-同舟云学术

A capacitated biobjective location problem with uniformly distributed demands in the UAV‐supported delivery operation

Published:2019-10-10 Issue:6 Volume:28 Page:3220-3243
ISSN:0969-6016
Container-title:International Transactions in Operational Research
language:en
Short-container-title:Intl. Trans. in Op. Res.

Author:

Shavarani Seyed Mahdi¹^ORCID,Golabi Mahmoud²,Izbirak Gokhan³

Affiliation:

1. Alliance Manchester Business School University of Manchester Manchester M15 6PB UK

2. IRIMAS Université de Haute‐Alsace (UHA) 12 rue des Frères Lumière 68093 Mulhouse France

3. Department of Industrial Engineering Eastern Mediterranean University Famagusta, Via Mersin 10 Turkey

Publisher

Wiley

Subject

Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Computer Science Applications,Business and International Management

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/itor.12735

Reference95 articles.

1. A fuzzy multi-objective covering-based vehicle location model for emergency services

2. Solving a multi-mode bi-objective resource investment problem using meta-heuristic algorithms

3. Network location problem with stochastic and uniformly distributed demands;Arkat J.;International Journal of Engineering, Transactions B: Applications,2016

4. Local Search Heuristics for k-Median and Facility Location Problems

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