Many-Objective Cooperative Co-evolutionary Linear Genetic Programming Applied to the Automatic Microcontroller Program Generation

Created by W.Langdon from gp-bibliography.bib Revision:1.7428

@Article{Serruto2019,

• author = "Wildor Ferrel Serruto and Luis Alfaro",
• title = "Many-Objective Cooperative Co-evolutionary Linear Genetic Programming Applied to the Automatic Microcontroller Program Generation",
• journal = "International Journal of Advanced Computer Science and Applications",
• year = "2019",
• volume = "10",
• number = "1",
• pages = "21--31",
• keywords = "genetic algorithms, genetic programming, linear genetic programming, many-objective optimisation, Pareto fronts, cooperative coevolution, program synthesis, microcontroller-based systems",
• ISSN = "2158-107X",
• publisher = "The Science and Information Organization",
• language = "eng",
• oai = "oai:thesai.org:10.14569/IJACSA.2019.0100103",
• URL = "http://dx.doi.org/10.14569/IJACSA.2019.0100103",
• URL = "http://thesai.org/Downloads/Volume10No1/Paper_3-Many_Objective_Cooperative_Co_evolutionary_Linear_Genetic_Programming.pdf",
• DOI = "doi:10.14569/IJACSA.2019.0100103",
• size = "11 pages",
• abstract = "In this article, a methodology for the generation of programs in assembly language for microcontroller-based systems is proposed, applying a many-objective cooperative co-evolutionary linear genetic programming based on the decomposition of a program into segments, which evolve simultaneously, collaborating with each other in the process. The starting point for the program generation is a table of input/output examples. Two methods of fitness evaluation are also proposed. When the objective is to find a binary combination, the authors propose fitness evaluation with an exhaustive search for the output of each bit of the binary combination in the genetic program. On the other hand, when the objective is to generate specific variations of the logical values in the pins of the microcontrollers port, the authors propose calculating the fitness, comparing the timing diagrams generated by the genetic program with the desired timing diagrams. The methodology was tested in the generation of drivers for the 4x4 matrix keyboard and character LCD module devices. The experimental results demonstrate that for certain tasks, the use of the proposed method allows for the generation of programs capable of competing with programs written by human programmers.",

}

Genetic Programming entries for Wildor Ferrel Serruto Luis Alberto Alfaro Casas

Citations