Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Pokémon GO Team Optimization: A Comparative Study of Classic Metaheuristic Algorithms

Saved in:
Bibliographic Details
Published in:Journal on Interactive Systems
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864030191975661570
collection WordPress RSS
FRELIP Feed Integration
container_title Journal on Interactive Systems
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:10603
institution FRELIP
journal_source_facet Journal on Interactive Systems
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Pokémon GO Team Optimization: A Comparative Study of Classic Metaheuristic Algorithms
— — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
— — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
subject_facet — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
title Pokémon GO Team Optimization: A Comparative Study of Classic Metaheuristic Algorithms
title_auth Pokémon GO Team Optimization: A Comparative Study of Classic Metaheuristic Algorithms
title_full Pokémon GO Team Optimization: A Comparative Study of Classic Metaheuristic Algorithms
title_fullStr Pokémon GO Team Optimization: A Comparative Study of Classic Metaheuristic Algorithms
title_full_unstemmed Pokémon GO Team Optimization: A Comparative Study of Classic Metaheuristic Algorithms
title_short Pokémon GO Team Optimization: A Comparative Study of Classic Metaheuristic Algorithms
title_sort pokémon go team optimization: a comparative study of classic metaheuristic algorithms
topic — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
url https://journals-sol.sbc.org.br/index.php/jis/article/view/6773