Designing Emergent Swarm Behaviors using Behavior Trees and Grammatical Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{conf/atal/NeupaneG19,

• author = "Aadesh Neupane and Michael A. Goodrich",
• title = "Designing Emergent Swarm Behaviors using Behavior Trees and Grammatical Evolution",
• booktitle = "Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19",
• year = "2019",
• editor = "Edith Elkind and Manuela Veloso and Noa Agmon and Matthew E. Taylor",
• pages = "2138--2140",
• address = "Montreal, QC, Canada",
• month = may # " 13-17",
• publisher = "International Foundation for Autonomous Agents and Multiagent Systems",
• publisher_address = "Richland, SC, USA",
• keywords = "genetic algorithms, genetic programming, grammatical evolution, Behavior Trees, Swarms",
• isbn13 = "978-1-4503-6309-9",
• bibdate = "2019-05-29",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/atal/aamas2019.html#NeupaneG19",
• URL = "http://dl.acm.org/citation.cfm?id=3306127",
• broken = "doi:10.5555/3306127.3332036",
• size = "3 pages",
• abstract = "Bio-inspired collectives like honeybee, ant, and termite colonies provide elegant distributed solutions to complex collective problems like finding food sources, selecting a new site, and allocating tasks. Effective collective behaviours emerge from biological swarms through local interactions",

}

Genetic Programming entries for Aadesh Neupane Michael A Goodrich

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