Abstract
A genetic algorithm (GA) is heuristic search that replicate the process of natural selection. It is inspired by natural evolution techniques such as selection, crossover and mutation strategies. The analytical hierarchy process (AHP) is used to conceptualize complex problems. The recently developed Cohort Intelligence (CI) algorithm models behavior of individuals within the group. The research for recommending an ice cream to a diabetic patient with respect to GA, CI and with AHP is carried out. The set of equations for GA, CI with respect to AHP are proposed. AHP-GA and AHP-CI will not only verify the previous obtained results for AHP but also shows improvement in results to recommend an ice cream to a diabetic patient.
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Gaikwad, S.M., Joshi, R.R., Kulkarni, A.J. (2016). Cohort Intelligence and Genetic Algorithm Along with AHP to Recommend an Ice Cream to a Diabetic Patient. In: Panigrahi, B., Suganthan, P., Das, S., Satapathy, S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2015. Lecture Notes in Computer Science(), vol 9873. Springer, Cham. https://doi.org/10.1007/978-3-319-48959-9_4
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