A multi-objective antlion optimizer for the ring tree problem with secondary sub-depots-Reference-Cited by-同舟云学术

A multi-objective antlion optimizer for the ring tree problem with secondary sub-depots

Published:2021-02-20 Issue: Volume: Page:
ISSN:1109-2858
Container-title:Operational Research
language:en
Short-container-title:Oper Res Int J

Author:

Mukherjee Anupam^ORCID,Barma Partha Sarathi,Dutta Joydeep,Panigrahi Goutam,Kar Samarjit,Maiti Manoranjan

Publisher

Springer Science and Business Media LLC

Subject

Management of Technology and Innovation,Computational Theory and Mathematics,Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Modeling and Simulation,Numerical Analysis

Link

http://link.springer.com/content/pdf/10.1007/s12351-021-00623-8.pdf

Reference40 articles.

1. Abe FHN, Hoshino EA, Hill A (2015) The ring star facility location problem. Electron Notes Discrete Math 50:331–336

2. Baldacci R, Dell’Amico M (2010) Heuristic algorithms for the multi-depot ring star problem. Eur J Oper Res 203(1):270–281

3. Baldacci R, Dell’Amico M, Salazar González JJ (2007) The capacitated m-ring star problem. Oper Res 55(6):1147–1162

4. Beheshti Z, Shamsuddin SM, Hasan S (2015) Memetic binary particle swarm optimization for discrete optimization problems. Inf Sci 299:58–84

5. Belgin O, Karaoglan I, Altiparmak F (2018) Two-echelon vehicle routing problem with simultaneous pickup and delivery: mathematical model and heuristic approach. Comput Ind Eng 115:1–16

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