Core loading pattern optimization of a typical two-loop 300MWe PWR using Simulated Annealing (SA), novel crossover Genetic Algorithms (GA) and hybrid GA(SA) schemes
سال
: 2014شناسه الکترونیک: 10.1016/j.anucene.2013.10.024
کالکشن
:
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آمار بازدید
Core loading pattern optimization of a typical two-loop 300MWe PWR using Simulated Annealing (SA), novel crossover Genetic Algorithms (GA) and hybrid GA(SA) schemes
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| contributor author | Aneela Zameer | |
| contributor author | Sikander M. Mirza | |
| contributor author | Nasir M. Mirza | |
| date accessioned | 2020-03-12T12:08:32Z | |
| date available | 2020-03-12T12:08:32Z | |
| date issued | 2014 | |
| identifier other | cztQGa3eVxummpYsL4oXbOTY8ehsZrUefuWZOVJKUJEm83WZEF.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/864201 | |
| format | general | |
| language | English | |
| title | Core loading pattern optimization of a typical two-loop 300MWe PWR using Simulated Annealing (SA), novel crossover Genetic Algorithms (GA) and hybrid GA(SA) schemes | |
| type | Journal Paper | |
| contenttype | Fulltext | |
| contenttype | Fulltext | |
| identifier padid | 6845038 | |
| identifier doi | 10.1016/j.anucene.2013.10.024 | |
| journal title | Annals of Nuclear Energy | |
| coverage | Academic | |
| pages | 122-131 | |
| journal volume | 65 | |
| filesize | 2174584 | |
| citations | 0 |