作者: D. Moldovan , P. Stefan , C. Vuscan , V. R. Chifu , I. Anghel
DOI: 10.1007/978-3-319-52875-5_51
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摘要: This paper addresses the problem of generation a recommendation five healthy meals for elders an entire day by taking into consideration their nutritional constraints and dietary restrictions. is modeled as optimization solved using Cat Swarm Optimization (CSO) Wolf Search (WS) algorithms. These two algorithms were integrated in experimental prototype that allows to order foods daily. Finally, series experiments conducted determine which algorithm leads combination food packets best matches imposed nutritionist older adult’s preferences nutrition, price, time aspect.