Designing Scalarizing Functions Using Grammatical Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.7644

@InProceedings{bernabe-rodriguez:2023:GEWS2023,

• author = "Amin V. {Bernabe Rodriguez} and Carlos A. {Coello Coello}",
• title = "Designing Scalarizing Functions Using Grammatical Evolution",
• booktitle = "Grammatical Evolution Workshop - 25 years of GE",
• year = "2023",
• editor = "Conor Ryan and Mahsa Mahdinejad and Aidan Murphy",
• pages = "2004--2012",
• address = "Lisbon, Portugal",
• series = "GECCO '23",
• month = "15-19 " # jul,
• organisation = "SIGEVO",
• publisher = "Association for Computing Machinery",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, grammatical evolution, multi-objective optimization, scalarizing functions",
• isbn13 = "9798400701191",
• DOI = "doi:10.1145/3583133.3596354",
• size = "9 pages",
• abstract = "In this paper, we present a grammatical evolution-based framework to produce new scalarizing functions, which are known to have a significant impact on the performance of both decomposition-based multi-objective evolutionary algorithms (MOEAs) and indicator-based MOEAs which use R2. We perform two series of experiments using this framework. First, we produce many scalarizing functions using different benchmark problems to explore the behavior of the resulting functions according to the geometry of the problem adopted to generate them. Then, we perform a second round of experiments adopting two combinations of problems which yield better results in some test instances. We present the experimental validation of these new functions compared against the Achievement Scalarizing Function (ASF), which is known to provide a very good performance. For this comparative study, we adopt several benchmark problems and we are able to show that our proposal is able to generate new scalarizing functions that can outperform ASF in different problems.",
• notes = "GECCO-2023 A Recombination of the 32nd International Conference on Genetic Algorithms (ICGA) and the 28th Annual Genetic Programming Conference (GP)",

}

Genetic Programming entries for Amin V Bernabe Rodriguez Carlos Artemio Coello Coello

Citations