Enhanced global optimization methods applied to complex fisheries stock assessment models-Reference-Cited by-同舟云学术

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Enhanced global optimization methods applied to complex fisheries stock assessment models

Published:2019-04 Issue: Volume:77 Page:50-66
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Penas David R.^ORCID,Gómez Andrés,Fraguela Basilio B.,Martín María J.^ORCID,Cerviño Santiago^ORCID

Funder

Xunta de Galicia, Spain

European Union’s Seventh Framework Programme

Publisher

Elsevier BV

Subject

Software

Reference68 articles.

1. A generalized stock production model;Pella;Inter-Amer. Trop. Tuna Comm. Bull.,1969

2. Estimating uncertainty in fish stock assessment and forecasting;Patterson;Fish Fish.,2001

3. Competitive Coevolution in Problem Design and Metaheuristical Parameter Tuning;Einarsson,2014

4. A competitive coevolution scheme inspired by DE;Einarsson,2014

5. Improving the performance of the algorithm for conditioning implementation simulation trials, with application to north atlantic fin whales;Punt,2011

Cited by 2 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. A Crossover Optimization Method based on Correlation Coefficient in Differential Evolution;2023 7th International Conference on Trends in Electronics and Informatics (ICOEI);2023-04-11

2. Correlations Between the Scaling Factor and Fitness Values in Differential Evolution;IEEE Access;2020

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