QACO_Alpha applied to the nuclear reactor core fuel reload optimization

Author:

da Silva Márcio Henrique,Schirru Roberto,de Lima Alan Miranda Monteiro

Publisher

Elsevier BV

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality,Nuclear Energy and Engineering

Reference14 articles.

1. Genetics algorithms and random keys for sequencing and optimization;Bean;ORSA Journal of Computing,1994

2. Parameterless evolutionary algorithm applied to the nuclear reload problem;Caldas;Annals of Nuclear Energy,2008

3. Chapot, J.L.C., 2000, Otimização Automática de Recargas de Reatores a Água Pressurizada Utilizando Algoritmos Genéticos. Tese de D.Sc., COPPE/UFRJ, Rio de Janeiro, RJ, Brasil.

4. Dorigo, M., Gambardella, L.M., 1996, “Solving symmetric and asymmetric TSPs by ant colonies”. IEEE Conference on Evolutionary Computation, ICEC’ 96, Nagoya Japan, 20–22 May.

5. Ant colony system: a cooperative learning approach to traveling salesman problem;Dorigo;IEEE Transactions and Evolutionary Computation,1997

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