A Linear Genetic Programming Approach for the Internet Shopping Optimization Problem with Multiple Item Units (ISHOP-U)

Authors

  • Jazmin Del-Angel Universidad Autónoma de Tamaulipas
  • Alejandro Santiago Universidad Autónoma de Tamaulipas
  • Salvador Ibarra-Martínez Universidad Autónoma de Tamaulipas
  • José Antonio Castán-Rocha Universidad Autónoma de Tamaulipas
  • Mayra Guadalupe Treviño-Berrones Universidad Autónoma de Tamaulipas

DOI:

https://doi.org/10.13053/cys-28-3-5165

Keywords:

ISHOP-U, Evolutionary Programming, Linear Genetic Programming

Abstract

Evolutionary computation (EC) is abroad field of artificial intelligence where evolutionary processes inspire algorithms, such as artificial immune systems, inspired by the evolution of acquired immune systems. The predominant approach in EC is Evolutionary Algorithms (EAs), inspired by the evolution of Darwin’s natural species. A different approach is Evolutionary Programming (EP), which, instead of evolving individuals representing the problem decision variables (chromosomes), evolves programs, which code instructions, and executing those instructions generates a solution. Genetic Programming (GP) is an approach analogous to Genetic Algorithms (GAs), but it differs in that it works over programming instructions instead of decision variables. Although GP is an exciting approach, it is more complicated to implement due to the necessity of managing tree data structures. Linear Genetic Programming (LGP) is more straightforwardthan traditional GP, without the need for tree data structures. This chapter shows a proof of concept to implement LGP to evolve programs for the Internet Shopping Optimization Problem with multiple item Units (ISHOP-U), an NP-Hard optimization problem. Readers can easily implement the proposed approach and produce Linear Genetic Programming algorithms for other problems.

Downloads

Published

2024-09-12

Issue

Vol. 28 No. 3 (2024): 28(3) 2024

Section

Articles of the Thematic Section

License 

Hereby I transfer exclusively to the Journal "Computación y 
Sistemas", published by the Computing Research Center (CIC-IPN),
the Copyright of the aforementioned paper. I also accept that these 
rights will not be transferred to any other publication, in any other 
format, language or other existing means of developing.
I certify that the paper has not been previously disclosed or simultaneo
usly submitted to any other publication, and that it does not contain 
material whose publication would violate the Copyright or other 
proprietary rights of any person, company or institution. I certify that 
I have the permission from the institution or company where I work or 
study to publish this work.
The representative author accepts the responsibility for the publication
of this paper on behalf of each and every one of the authors. 
This transfer is subject to the following conditions:
  • The authors retain all ownership rights (such as patent rights) of this work, except for the publishing rights transferred to the CIC, through this document.
  • Authors retain the right to publish the work in whole or in part in any book they are the authors or publishers. They can also make use of this work in conferences, courses, personal web pages, and so on.
  • Authors may include working as part of his thesis, for non-profit distribution only.