Multi-Modal Adaptive Graph Evolution for Program Synthesis

Created by W.Langdon from gp-bibliography.bib Revision:1.8311

@InProceedings{De-La-Torre:2024:PPSN,

• author = "Camilo {De La Torre} and Yuri Lavinas and Kevin Cortacero and Dennis Wilson and Sylvain Cussat-Blanc",
• title = "Multi-Modal Adaptive Graph Evolution for Program Synthesis",
• booktitle = "18th International Conference on Parallel Problem Solving from Nature",
• year = "2024",
• editor = "Heike Trautmann and Tea Tusar and Penousal Machado and Thomas Baeck",
• volume = "15148",
• series = "Lecture Notes in Computer Science",
• pages = "306--321",
• address = "University of Applied Sciences Upper Austria, Hagenberg, Austria",
• month = "13-18 " # sep,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Cartesian Genetic Programming, Multimodal Adaptive Graph Evolution, MAGE, Mixed-Type Cartesian Genetic Programming, Program synthesis, Evolutionary computation, Search Trajectory Networks",
• isbn13 = "978-3-031-70054-5",
• URL = "https://rdcu.be/d5mEo",
• DOI = "doi:10.1007/978-3-031-70055-2_19",
• code_url = "https://github.com/camilodlt/PPSN_MAGE_PSB2_PBS",
• size = "16 pages",
• abstract = "Multimodal Adaptive Graph Evolution, a multi-chromosome generalization of Cartesian Genetic Programming that groups functions by return type and constrains graph mutation based on node’s type coherence...Program Synthesis Benchmark Suite...explores the solution space more effectively by creating candidate solutions with lower semantic redundancy",
• notes = "https://ppsn2024.fh-ooe.at/program/",

}

Genetic Programming entries for Camilo De La Torre Yuri Lavinas Kevin Cortacero Dennis G Wilson Sylvain Cussat-Blanc

Citations