A parallel genetic algorithm with niching technique applied to a nuclear reactor core design optimization problem-Reference-Cited by-同舟云学术

A parallel genetic algorithm with niching technique applied to a nuclear reactor core design optimization problem

Published:2008-09 Issue:7 Volume:50 Page:740-746
ISSN:0149-1970
Container-title:Progress in Nuclear Energy
language:en
Short-container-title:Progress in Nuclear Energy

Author:

Pereira Cláudio M.N.A.,Sacco Wagner F.

Publisher

Elsevier BV

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality,Nuclear Energy and Engineering

Reference21 articles.

1. Clusters Analysis for Applications;Anderberg,1975

2. Pattern Recognition with Fuzzy Objective Function Algorithms;Bezdek,1981

3. Efficient and Accurate Parallel Genetic Algorithms;Cantú-Paz,2000

4. Genetic Algorithms in Search, Optimization & Machine Learning;Goldberg,1989

5. Goldberg, D.E., Richardson, J., 1987. Genetic algorithms with sharing for multimodal function optimization, genetic algorithms and their applications. In: Proceedings of the Second International Conference on Genetic Algorithms, Hillsdale, New Jersey, USA. p. 41.

Cited by 25 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. Application of CSA to loading pattern optimization problems for reload core in nuclear power plant;Annals of Nuclear Energy;2024-08

2. Multi-Objective Optimal Design of Steam Generator in Nuclear Power Plant;2023

3. Applying the Computational Intelligence Paradigm to Nuclear Power Plant Operation;Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms;2021

4. Applying the Computational Intelligence Paradigm to Nuclear Power Plant Operation;Research Anthology on Artificial Intelligence Applications in Security;2021

5. Applying the Computational Intelligence Paradigm to Nuclear Power Plant Operation;International Journal of Energy Optimization and Engineering;2020-01