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LNLM journal - sp issue 2019 : Learning & NonLinear Models journal - special issue on Evolutionary Computation

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Link: http://abricom.org.br/lnlm/
 
When N/A
Where N/A
Submission Deadline Feb 28, 2019
Notification Due May 31, 2019
Final Version Due Jul 31, 2019
Categories    artificial intelligence   computational intelligence   evolutionary computation   swarm intelligence
 

Call For Papers

Learning and NonLinear Models (ISSN 1676-2789) is the official journal of the Brazilian Association for Computational Intelligence (ABRICOM). LNLM has been published online since 2003 and all papers are Open-Access and are indexed with DOI. The journal publishes papers reporting theoretical and practical advances in the several areas of Computational Intelligence. Researchers are invited to submit high-quality papers and surveys with focus on the most recent advances in Evolutionary Computation and Swarm Intelligence. The scope of this special issue includes, but it is not limited to, the following topics:
- Methods: Genetic Algorithms, Genetic Programming, Evolution Strategies, Differential Evolution, Particle Swarm Optimization, Ant Colony Optimization, Artificial Bee Colony and other bio-inspired methods
- Real-world applications of the above methods to: computer vision, bioinformatics, large-scale optimization, pattern recognition, data analytics, engineering problems, intelligent manufacturing.

SUBMISSION:
Manuscripts should be written in English and prepared according to the journal template available here: http://abricom.org.br/lnlm/instrucoes-para-autores. The PDF version (10-15 pages for regular papers, and 15-20 pages for surveys) should be submitted to the guest editors by e-mail (lnlm-spissue-EC@abricom.org.br). Papers will be reviewed by the guest editors and external referees.

SCHEDULE:
-Deadline for manuscripts submission: 2019, fev 28th
-Review results notification: 2019, mai 31st
-Revised manuscript due: 2019, jun 30rd
-Final decision notification: 2019, jul 31st
-Publication: 2019, 2nd semester

More details: http://www.abricom.org.br/lnlm -) special issues

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