Application of Differential Evolution algorithms to multi-objective optimization problems in mixed-oxide fuel assembly design-Reference-Cited by-同舟云学术

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Application of Differential Evolution algorithms to multi-objective optimization problems in mixed-oxide fuel assembly design

Published:2019-05 Issue: Volume:127 Page:165-177
ISSN:0306-4549
Container-title:Annals of Nuclear Energy
language:en
Short-container-title:Annals of Nuclear Energy

Author:

Charles Alan,Parks Geoffrey

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference25 articles.

1. μJADE: adaptive differential evolution with a small population;Brown;Soft Comput.,2015

2. Fuel lattice design with path relinking in BWR’s;Castillo;Prog. Nucl. Energy.,2011

3. Mixed Oxide LWR Assembly Design Optimization Using Differential Evolution Algorithms;Charles,2017

4. Evolutionary Algorithms for Solving Multi-Objective Problems;Coello Coello,2007

5. A fast and elitist multiobjective genetic algorithm: NSGA-II;Deb;IEEE Trans. Evol. Comput.,2002

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3. A non-dominated discrete differential evolution for fuel loading pattern optimization of a nuclear research reactor;Kerntechnik;2023-10-09

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