Title :
Nutritional Diet Decision Using Multi-objective Difference Evolutionary Algorithm
Author :
Pei, Zhenkui ; Liu, Zhen
Author_Institution :
Coll. of Comput. & Commun. Eng., China Univ. of Pet., Dongying, China
Abstract :
The nutrition diet decision problems on Multi-objective optimization are solved by using Compromise Difference Evolutionary (DE) algorithm. This method is equipped with a domination selection operator to enhance its performance by favoring non-dominated individuals in the populations. DE is a population based search algorithm, which is an improved version of Genetic Algorithm (GA). Simulations carried out involved solving nutrition decision using a method that relationships of dominant to determine the fitness, and finding Pareto optimum set for the nutrition decision problem. Compromise Difference Evolutionary found to be stable and more accurate in optimization compared to simple GA.
Keywords :
Pareto optimisation; decision making; genetic algorithms; Pareto optimum set; genetic algorithm; multi-objective difference evolutionary algorithm; nutritional diet decision; Computational intelligence; Decision making; Educational institutions; Evolutionary computation; Genetic algorithms; Genetic engineering; Information technology; Pareto optimization; Petroleum; Robustness; Difference Evolutionary; Genetic Algorithm; Pareto; multi-objective optimization; nutrition diet decision;
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3645-3
DOI :
10.1109/CINC.2009.175
