Strategies for Parallel Ant Colony Optimization on Graphics Processing Units

Angelo, Jaqueline S.; Augusto, Douglas Adriano; Barbosa, Hélio J. C.

doi:10.5772/51679

Cited by 1 publication

(1 citation statement)

References 24 publications

(27 reference statements)

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“…ACO metahiuristic is a constructive and population based-approach which relies on the social behavior of ants. It is recognized as a most powerful approach for the solution of combinatorial optimization problems [33]. The main steps used in our proposed Algorithm are explained as follows:…”

Section: Proposed Algorithm Based On Ant Colony Optimization (Aco)mentioning

confidence: 99%

Diet-Right: A Smart Food Recommendation System

Rehman¹,

Khalid²,

Haq³

et al. 2017

KSII TIIS

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Inadequate and inappropriate intake of food is known to cause various health issues and diseases. Due to lack of concise information about healthy diet, people have to rely on medicines instead of taking preventive measures in food intake. Due to diversity in food components and large number of dietary sources, it is challenging to perform real-time selection of diet patterns that must fulfill one's nutrition needs. Particularly, selection of proper diet is critical for patients suffering from various diseases. In this article, we highlight the issue of selection of proper diet that must fulfill patients' nutrition requirements. To address this issue, we present a cloud based food recommendation system, called Diet-Right, for dietary recommendations based on users' pathological reports. The model uses ant colony algorithm to generate optimal food list and recommends suitable foods according to the values of pathological reports. Diet-Right can play a vital role in controlling various diseases. The experimental results show that compared to single node execution, the convergence time of parallel execution on cloud is approximately 12 times lower. Moreover, adequate accuracy is attainable by increasing the number of ants.

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Section: Proposed Algorithm Based On Ant Colony Optimization (Aco)mentioning

confidence: 99%