A Novel Multiobjective Memetic Algorithm Based on IWO-DE and its Application in Nutrition Decision Making Problem

Gao Ping Wang; Meng Zhang; Wei Wei Zhao

doi:10.4028/www.scientific.net/AMR.989-994.1849

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994A Novel Multiobjective Memetic Algorithm Based on...

A Novel Multiobjective Memetic Algorithm Based on IWO-DE and its Application in Nutrition Decision Making Problem

Abstract:

In this paper ,we discuss multiobjective optimization problems solved by Memetic algorithms. We present A novel multiobjective memetic algorithm based on invasive weed optimization and differential evolution (IWO-DE) to solve this class of problems .We present the Nutrition Prescription Model for Meals.the IWO-DE is applied to solve the nutrition decision making problem to map the Pareto-optimum front. The results in the problem show its effectiveness.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

1849-1852

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.1849

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Cite this paper

Online since:

July 2014

Authors:

Gao Ping Wang*, Meng Zhang, Wei Wei Zhao

Keywords:

Differential Evolution, Invasive Weed Optimization, Memetic Algorithms, Nutrition Prescription, Optimal Design

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* - Corresponding Author

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