Evolving task priority rules for heterogeneous assembly line balancing

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

@InProceedings{Goncalves-Moreira:2019:CEC,

• author = "Joao Pedro {Goncalves Moreira} and Marcus Ritt",
• booktitle = "2019 IEEE Congress on Evolutionary Computation (CEC)",
• title = "Evolving task priority rules for heterogeneous assembly line balancing",
• year = "2019",
• pages = "1423--1430",
• month = jun,
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/CEC.2019.8790332",
• abstract = "Assembly lines in sheltered work centers are a strategy for integrating persons with disabilities in the work force. In such centers, the assignment of tasks to workers must consider particularities of each worker and precedences between the tasks, and must be done in a way that maximizes the production rate of the assembly line. In this paper we present an application of genetic programming for evolving task selection rules that are competitive with rules manually created and described in literature. These rules are useful in constructive heuristics for rapidly producing solutions of good quality, and can be embedded into more sophisticated heuristic methods to improve them.",
• notes = "Also known as \cite{8790332}",

}

Genetic Programming entries for Joao Pedro Goncalves Moreira Marcus Ritt

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