- author = "Samuel Carvalho and Joe Sullivan and Douglas Dias and Enrique Naredo and Conor Ryan",
- title = "Using Grammatical Evolution for Modelling Energy Consumption on a Computer Numerical Control Machine",
- booktitle = "6th Workshop on Industrial Applications of Metaheuristics",
- year = "2021",
- editor = "Silvino Fernandez Alzueta and Thomas Stuetzle and Pablo Valledor",
- pages = "1557--1563",
- address = "internet",
- series = "GECCO '21",
- month = jul # " 10-14",
- organisation = "SIGEVO",
- publisher = "Association for Computing Machinery",
- publisher_address = "New York, NY, USA",
- keywords = "genetic algorithms, genetic programming, Grammatical Evolution, Real-World Applications, CNC Machines, Energy Consumption",
- isbn13 = "978-1-4503-8351-6",
-
DOI = "
doi:10.1145/3449726.3463185",
- size = "7 pages",
- abstract = "Discrete manufacturing is known to be a high consumer of energy and much work has been done in continuous improvement and energy saving methods addressing this issue. Computer Numerical Control (CNC) machines, commonly used in the manufacturing of metal parts, are highly energy-demanding because of many required sub-systems, such as cooling, lubrication, logical interfaces and electric motors. For this reason, there is a large body of work focusing on modeling the energy needs of this class of machine.",
-
notes = "Limerick Institute of Technology
GECCO-2021 A Recombination of the 30th International Conference on Genetic Algorithms (ICGA) and the 26th Annual Genetic Programming Conference (GP)",
