Abstract
Cost optimization of the assembly sequence of an electric propulsion module of an electro-solar boat is carried out with a genetic algorithm and compared with the results of a constructive method, identifying that the most influential variable of the whole model is time.
Supported by ENERGÉTICA 2030 and EAFIT University.
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Acknowledgement
This research has been developed in the framework of the “ENERGÉTICA 2030” Research Program, with code 58667 in the “Colombia Científica” initiative, funded by The World Bank, through the call “778-2017 Scientific Ecosystems”, is managed by the Colombian Ministry of Science, Technology, and Innovation (Minciencias), with contract No. FP44842-210-2018.
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Montoya-Rivera, M., Osorio-Gómez, G., Rivera Agudelo, J.C. (2022). Cost Optimization of an Assembly Sequence of an Electric Propulsion Module of an Electro-Solar Boat. In: Figueroa-García, J.C., Franco, C., Díaz-Gutierrez, Y., Hernández-Pérez, G. (eds) Applied Computer Sciences in Engineering. WEA 2022. Communications in Computer and Information Science, vol 1685. Springer, Cham. https://doi.org/10.1007/978-3-031-20611-5_18
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