Hyper-heuristic applied to nuclear reactor core design

The design of nuclear reactors gives rises to a series of optimization problems because of the need for high efficiency, availability and maintenance of security levels. Gradient-based techniques and linear programming have been applied, as well as genetic algorithms and particle swarm optimization....

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Bibliographic Details
Published in:Journal of physics. Conference series 2013-01, Vol.410 (1), p.12021-4
Main Authors: Domingos, R P, Platt, G M
Format: Article
Language:English
Subjects:
Availability
Combinatorial analysis
Genetic algorithms
Heuristic
Heuristic methods
Linear programming
Maintenance
Nonlinearity
Nuclear reactors
Optimization
Particle swarm optimization
Physics
Reactor cores
Security
Swarm intelligence
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Summary:The design of nuclear reactors gives rises to a series of optimization problems because of the need for high efficiency, availability and maintenance of security levels. Gradient-based techniques and linear programming have been applied, as well as genetic algorithms and particle swarm optimization. The nonlinearity, multimodality and lack of knowledge about the problem domain makes de choice of suitable meta-heuristic models particularly challenging. In this work we solve the optimization problem of a nuclear reactor core design through the application of an optimal sequence of meta-heuritics created automatically. This combinatorial optimization model is known as hyper-heuristic.
ISSN:1742-6596
1742-6588
1742-6596
DOI:10.1088/1742-6596/410/1/012021