Exploring Genetic Improvement of the Carbon Footprint of Web Pages
Paper i proceeding, 2024
In this study, we explore automated reduction of the carbon footprint of web pages through genetic improvement, a process that produces alternative versions of a program by applying program transformations intended to optimize qualities of interest. We introduce a prototype tool that imposes transformations to HTML, CSS, and JavaScript code, as well as image resources, that minimize the quantity of data transferred and memory usage while also minimizing impact to the user experience (measured through loading time and number of changes imposed).
Web Development
Genetic Programming
Energy Consumption
Carbon Footprint
Genetic Improvement
Författare
Haozhou Lyu
Student vid Chalmers
Gregory Gay
Göteborgs universitet
Maiko Sakamoto
University of Tokyo
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
03029743 (ISSN) 16113349 (eISSN)
Vol. 14415 LNCS 67-839783031487958 (ISBN)
15th International Symposium on Search-Based Software Engineering, SSBSE 2023
San Francisco, USA,
San Francisco, USA,
Ämneskategorier
Programvaruteknik
Datavetenskap (datalogi)
DOI
10.1007/978-3-031-48796-5_5