Published September 2012
| Version v1
Journal article
Study on the characteristic statistic algorithm by use of the LP search benchmark problem
Creators
- 1. School of Nuclear Science and Engineering, Shanghai Jiaotong University (China)
Description
The Characteristic Statistic Algorithm (CSA), which was proposed in the literature, is studied by use of the PWR LP search benchmark problem. Results demonstrated that the algorithm is capable of finding solutions that are close to the global optimum at quite low computational costs. The mechanism of the optimum searching process is also illustrated by use of the benchmark problem. (authors)
Additional details
Publishing Information
- Journal Title
- Chinese Journal of Nuclear Science and Engineering
- Journal Volume
- 32
- Journal Issue
- 3
- Journal Page Range
- p. 193-197
- ISSN
- 0258-0918
INIS
- Country of Publication
- China
- Country of Input or Organization
- China
- INIS RN
- 46127529
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING; S22: GENERAL STUDIES OF NUCLEAR REACTORS;
- Descriptors DEI
- ALGORITHMS; BENCHMARKS; FUEL MANAGEMENT; PWR TYPE REACTORS
- Descriptors DEC
- ENRICHED URANIUM REACTORS; MANAGEMENT; MATHEMATICAL LOGIC; NUCLEAR MATERIALS MANAGEMENT; POWER REACTORS; REACTORS; THERMAL REACTORS; WATER COOLED REACTORS; WATER MODERATED REACTORS
Optional Information
- Notes
- 11 figs., 1 tabs., 8 refs.