Optimization of the Internet Shopping Problem with Shipping Costs-Reference-Cited by-同舟云学术

Optimization of the Internet Shopping Problem with Shipping Costs

Published:2021 Issue: Volume: Page:249-255
ISSN:1860-949X
Container-title:Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications
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Author:

Huacuja Hector Joaquín Fraire,Morales Miguel Ángel García,Locés Mario César López,Santillán Claudia Guadalupe Gómez,Reyes Laura Cruz,Rodríguez María Lucila Morales

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-68776-2_14

Reference6 articles.

1. Gen, Mitsuo, and Runwei Cheng. 2000. Genetic algorithms & engineering optimization. New York: Wiley Series in Engineering Design and Automation. John Wiley & Sons.

2. Holland, J.H. 1975. Adaptation in natural and artificial systems. And Arbor, Michigan: University of Michigan Press.

3. Lopez-Loces, M.C., J. Musial, J.E. Pecero, H.J. Fraire-Huacuja, J. Blacewicz, and P. Bouvry. 2016. Exact and heuristic approaches to solve the Internet shopping optimization problem with delivery costs. International Journal of Applied Mathematics and Computer Science 26 (2): 391–406.

4. Musial, J. 2012. Applications of combinatorial optimization for online shopping. Poznán: NAKOM.

5. Musial, J., J. Pecero, B. Dorronsoro, and J. Blazewicz. 2014. Internet shopping optimization project (IShOP). European IST Projects, 16.

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1. A Survey of Models and Solution Methods for the Internet Shopping Optimization Problem;Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design;2023

2. The Internet Shopping Optimization Problem with Multiple Item Units (ISHOP-U): Formulation, Instances, NP-Completeness, and Evolutionary Optimization;Mathematics;2022-07-19