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Beer organoleptic optimisation: utilising swarm intelligence and evolutionary computation methods

Published: 08 July 2020 Publication History

Abstract

This paper addresses the personalisation of beer properties in the specific case of craft beers where the production process is more flexible. The problem is investigated by using three swarm intelligence and evolutionary computation techniques that enable brewers to map physico-chemical properties to target organoleptic properties to design a specific brew. The process is illustrated by a number of experiments designing craft beers where the results are investigated by "cloning" popular commercial brands based on their known properties. The proposed approach allows for the discovery of new recipes, personalisation and alternative high-fidelity reproduction of existing ones.

References

[1]
Mohammad Majid al-Rifaie. 2014. Dispersive Flies Optimisation. In Proceedings of the 2014 Federated Conference on Computer Science and Information Systems (Annals of Computer Science and Information Systems), Vol. 2. IEEE, pages 529--538.
[2]
Ray Daniels. 1998. Designing great beers: The ultimate guide to brewing classic beer styles. Brewers Publications.
[3]
Gracie Ermi, Ellyn Ayton, Nolan Price, and Brian Hutchinson. 2018. Deep Learning Approaches to Chemical Property Prediction from Brewing Recipes. In 2018 International Joint Conference on Neural Networks (IJCNN). IEEE, 1--7.
[4]
Claudia Gonzalez Viejo, Sigfredo Fuentes, Damir D Torrico, Kate Howell, and Frank R Dunshea. 2018. Assessment of beer quality based on a robotic pourer, computer vision, and machine learning algorithms using commercial beers. Journal of food science 83, 5 (2018), 1381--1388.
[5]
J. Kennedy and R. C. Eberhart. 1995. Particle swarm optimization. In Proceedings of the IEEE International Conference on Neural Networks, Vol. IV. IEEE Service Center, Piscataway, NJ, 1942--1948.
[6]
Rainer Storn and Kenneth Price. 1995. Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces. (1995). TR-95-012, [online]. Available: http://www.icsi.berkeley.edu/storn/litera.html.
[7]
S Vassileva and S Mileva. 2010. AI-based software tools for beer brewing monitoring and control. Biotechnology & Biotechnological Equipment 24, 3 (2010), 1936--1939.
[8]
CI Wilson and L Threapleton. 2003. Application of artificial intelligence for predicting beer flavours from chemical analysis. In Proceedings of the 29th European Brewery Convention Congress, Dublin, Ireland. 17--22.

Cited By

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  • (2022)Evolutionary Optimisation of Beer Organoleptic Properties: A Simulation FrameworkFoods10.3390/foods1103035111:3(351)Online publication date: 26-Jan-2022
  • (2021)Exploration and Exploitation Zones in a Minimalist Swarm OptimiserEntropy10.3390/e2308097723:8(977)Online publication date: 29-Jul-2021
  • (2021)Investigating Knowledge-Based Exploration-Exploitation Balance in a Minimalist Swarm Optimiser2021 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC45853.2021.9504805(2273-2280)Online publication date: 28-Jun-2021

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cover image ACM Conferences
GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
July 2020
1982 pages
ISBN:9781450371278
DOI:10.1145/3377929
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Publication History

Published: 08 July 2020

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Author Tags

  1. differntial evolutioon
  2. dispersive flies optimisation
  3. food personalisation
  4. particle swarm optimisation

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Cited By

View all
  • (2022)Evolutionary Optimisation of Beer Organoleptic Properties: A Simulation FrameworkFoods10.3390/foods1103035111:3(351)Online publication date: 26-Jan-2022
  • (2021)Exploration and Exploitation Zones in a Minimalist Swarm OptimiserEntropy10.3390/e2308097723:8(977)Online publication date: 29-Jul-2021
  • (2021)Investigating Knowledge-Based Exploration-Exploitation Balance in a Minimalist Swarm Optimiser2021 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC45853.2021.9504805(2273-2280)Online publication date: 28-Jun-2021

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