Genetic algorithms in loading pattern optimization
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Date
2000-10
Journal Title
Journal ISSN
Volume Title
Publisher
Turkish Atomic Energy Authority
Abstract
Genetic Algorithm (GA) based systems are used for the loading pattern optimization. The use of
Genetic Algorithm operators such as regional crossover, crossover and mutation, and selection
of initial population size for PWRs are discussed. Antithetic variates are used to generate the
initial population. The performance of GA with antithetic variates is compared to traditional
GA. The results of multi-cycle optimization are discussed for objective function taking into
account cycle bum-up and discharge bum-up.
Description
I. Avrasya Nükleer Bilimler ve Uygulamaları Konferansı : 23-27 Ekim 2000. İzmir, Türkiye.
Keywords
Genetic algorithms, Genetik algoritmalar
Citation
Yılmazbayhan, A. ... [ve arkadaşları]., (2000). Genetic algorithms in loading pattern optimization. I. Eurasia Conference on Nuclear Science and Its Application, Presentations, Vol 1, (s. 4-7). 23-27 October 2000. İzmir, Turkey.