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************************************************************************* ** Hybrid Intelligent Systems - HIS 2021

** Hybrid Intelligent Computing Towards a Greener Future ** December 14 - 16, 2021 ** Online - https://www.mirlabs.net/his21/ *************************************************************************

Hybridization of intelligent systems is a promising research field of modern artificial/computational intelligence concerned with the development of the next generation of intelligent systems. A fundamental stimulus to the investigations of Hybrid Intelligent Systems (HIS) is the awareness in the academic communities that combined approaches will be necessary if the remaining tough problems in artificial/computational intelligence are to be solved. Recently, Hybrid Intelligent Systems are getting popular due to their capabilities in handling several real-world complexities involving imprecision, uncertainty, and vagueness. HIS'2021 builds on the success of last year's.

HIS'2021 is the 20th International conference that brings together researchers, developers, practitioners, and users of soft computing, computational intelligence, agents, logic programming, and several other intelligent computing techniques. The aim of HIS'2021 is to serve as a forum to present current and future work as well as to exchange research ideas in this field.

HIS'2021 invites authors to submit their original and unpublished work that demonstrates current research using soft computing, computational intelligence, and other intelligent computing techniques and their applications in science, technology, business, and commerce.

******************************** ** IMPORTANT DATES ********************************

Paper submission due: *September 30, 2021* Notification of paper acceptance: *October 31, 2021* Registration and Final manuscript due: *November 15, 2021*

******************* ** TOPICS *******************

HIS'2021 will focus on the following themes:

Hybrid Intelligent Systems: Architectures

- Interactions between neural networks and fuzzy inference systems. - Artificial neural network optimization using global optimization techniques. - Fuzzy clustering algorithms and optimization techniques. - Fuzzy inference system optimization using global optimization algorithms. - Hybrid computing using neural networks - fuzzy systems - evolutionary algorithms. - Hybrid optimization techniques (evolutionary algorithms, simulated annealing, tabu search, GRASP, etc.). - Hybrid of soft computing and statistical learning techniques. - Models using inductive logic programming, logic synthesis, grammatical inference, case-based reasoning, etc. - Autonomic computing. - Hybridization with novel computing paradigms: Quantum computing, DNA computing, membrane computing, etc.

Hybrid Intelligent Systems: Applications

- Image and Signal Processing - Internet Modeling, Communication and Networking - Data mining - Computational Biology and Bioinformatics - Business Information Systems - Control and Automation - Special topics

**************************** ** Author guidelines ****************************

Proceedings are expected to be published by Springer Verlag in one of the series. Details will be available soon.

Papers maximum length is 10 pages. - Papers must be formatted according to Springer format (Latex/word) available at: http://www.springer.com/series/11156

Templates: -Word https://www.mirlabs.net/his21/download/splnproc1703.zip -Latex https://www.mirlabs.net/his21/download/llncs2e.zip

-- Marco Antonio Costa Simões Nucleo de Arquitetura de Computadores e Sistemas Operacionais - ACSO - http://www.acso.uneb.br Bahia Robotics Team - http://www.acso.uneb.br/bahiart Departamento de Ciências Exatas e da Terra - Campus I Universidade do Estado da Bahia - UNEB Mestre em Ciência da Computação - UFPE

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