A unified methodology for single- and multiobjective in-core fuel management optimisation based on augmented Chebyshev scalarisation and a harmony search algorithm-Reference-Cited by-同舟云学术

A unified methodology for single- and multiobjective in-core fuel management optimisation based on augmented Chebyshev scalarisation and a harmony search algorithm

Published:2016-01 Issue: Volume:87 Page:659-670
ISSN:0306-4549
Container-title:Annals of Nuclear Energy
language:en
Short-container-title:Annals of Nuclear Energy

Author:

Schlünz E.B.,Bokov P.M.,Prinsloo R.H.,van Vuuren J.H.

Funder

National Research Foundation

NRF

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference23 articles.

1. The cross-entropy method in multi-objective optimisation: an assessment;Bekker;Eur. J. Oper. Res.,2011

2. A new heuristic optimization algorithm: harmony search;Geem;Simulation,2001

3. An interval bound algorithm of optimizing reactor core loading pattern by using reactivity interval schema;Gong;Ann. Nucl. Energy,2011

4. Optimization of the core configuration design using a hybrid artificial intelligence algorithm for research reactors;Hedayat;Nucl. Eng. Des.,2009

5. Studies of fuel loading pattern optimization for a typical pressurized water reactor (PWR) using improved pivot particle swarm method;Liu;Ann. Nucl. Energy,2012

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Feasibility study for the adoption of multi-capsule irradiation protocol in the conduct of k0-based INAA using the GHARR-1 MNSR;Radiation Physics and Chemistry;2024-03

2. Selection guide of multi-objective optimization for ergonomic design;Journal of Engineering, Design and Technology;2019-02-04

3. Multiobjective in-core nuclear fuel management optimisation by means of a hyperheuristic;Swarm and Evolutionary Computation;2018-10

4. Optimization of Nuclear Reactors Loading Patterns with Computational Intelligence Methods;Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering;2018-09-26

5. A multi-fuel management model for a community-level district heating system under multiple uncertainties;Energy;2017-06