Abstract
This paper presents a hybrid invasive weed optimization method for generating healthy meals starting from a given user profile, a diet recommendation, and a set of food offers. The method proposed is based on a hybrid model which consists of a core component and two hybridization components. The core component is based on the invasive weed optimization algorithm, and the hybridization components rely on PSO-based path relinking as well as on tabu search and reinforcement learning. The method proposed has been integrated into an experimental prototype and evaluated on various user profiles.
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References
http://www.who.int/countryfocus/cooperation_strategy/ccsbrief_rou_en.pdf
http://nihseniorhealth.gov/eatingwellasyougetolder/benefitsofeatingwell/01.html
Willett WC (2000) Balancing life-style and genomics research for disease prevention. Science Magazine
Glover F, Laguna M (1997) Tabu search. Kluwer Academic Publishers, Norwell
Glover F, Laguna M (2004) Scatter search and path relinking: foundations and advanced designs. In: New optimization techniques in engineering studies in fuzziness and soft computing, vol 141, pp 87–99
Snae C, Brückner M (2008) FOODS: A Food-Oriented Ontology-Driven System. In: The second ieee international conference on digital ecosystems and technologies, pp 168–176
Sivilai S, Snae C, Brueckner M (2012) Ontology-driven personalized food and nutrition planning system for the elderly. In: The 2nd international conference in business management and information sciences
Kashima T, Mtsumoto S, Ishii H (2011) Decision support system for menu recommendation using rough sets. Int J Innov Comput Inf Control 7(5):2799–2808
Bing W, Fei W, Chunming Y (2010) Personalized recommendation system based on Multi_Agent and Rough Set, pp 303–307. In: The 2nd international conference on education technology and computer (ICETC)
Gaal B, Vassanyi I, Kozmann G (2005) A novel artificial intelligence method for weekly dietary menu planning. Methods Inf Med 44(5):655–664
Mehrabian AR, Lucas C (2006) A novel numerical optimization algorithm inspired from weed colonization. Ecol Inform 1(4):355–366
Harris J, Benedict F (1919) A biometric study of basal metabolism in man. Washington D.C, Carnegie Institute of Washington
Kennedy J, Eberhart R (1995) Particle Swarm Optimization. Proc Int Conf Neural Netw 4:1942–1948
Graur M (2006) Guide for a healhtly diet. Iasi, Romania, Performatica
Acknowledgments
This work is carried out under the AAL Joint Programme with funding by the European Union (project number AAL-2012-5-195) and is supported by the Romanian National Authority for Scientific Research, CCCDI UEFISCDI (project number AAL—16/2013).
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Chifu, V.R. et al. (2016). Hybrid Invasive Weed Optimization Method for Generating Healthy Meals. In: Balas, V., C. Jain, L., Kovačević, B. (eds) Soft Computing Applications. SOFA 2014. Advances in Intelligent Systems and Computing, vol 356. Springer, Cham. https://doi.org/10.1007/978-3-319-18296-4_28
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DOI: https://doi.org/10.1007/978-3-319-18296-4_28
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