Solving the Lawn Mower problem with Kaizen Programming and $\lambda$-Linear Genetic Programming for Module Acquisition

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Sotto:2016:GECCOcomp,

• author = "Leo Francoso Dal Piccol Sotto and Vinicius Veloso {de Melo}",
• title = "Solving the Lawn Mower problem with Kaizen Programming and $\lambda$-Linear Genetic Programming for Module Acquisition",
• booktitle = "GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation",
• year = "2016",
• editor = "Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing",
• pages = "113--114",
• keywords = "genetic algorithms, genetic programming: Poster",
• month = "20-24 " # jul,
• organisation = "SIGEVO",
• address = "Denver, USA",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• isbn13 = "978-1-4503-4323-7",
• DOI = "doi:10.1145/2908961.2909007",
• abstract = "we have tested a new approach for evolving modular programs: Kaizen Programming (KP) with epsilon-Linear Genetic Programming (e-LGP) and a heuristic search procedure to solve the well-known Lawn Mower problem. KP is a novel hybrid approach that tries to efficiently combine partial solutions to generate a high-quality complete solution. Being a hybrid, KP may use different types of methods to generate partial solutions, assess their importance to the complete solution, and solve the complete problem. Experiments on the Lawn Mower problem show that the proposed method is effective in finding the expected solution. It is a new alternative for evolving modular programs, but further investigations are necessary to improve its performance.",
• notes = "Distributed at GECCO-2016.",

}

Genetic Programming entries for Leo Francoso Dal Piccol Sotto Vinicius Veloso de Melo

Citations