"Hybrid Intelligent Computing Towards a Greener Future"

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HIS'2021 invites authors to submit their original and unpublished work that demonstrate current research using soft computing, computational intelligence and other intelligent computing techniques and their applications in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

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.
• Hybridizatiion with novel computing paradigms: Qantum 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 will be published by Springer in the Lecture Notes in Networks and Systems", which is currently indexed by SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago and are submitted for consideration in Web of Science.
Series URL: https://www.springer.com/series/15179
Paper preparation templates: https://www.springer.com/de/authors-editors/book-authors-editors/manuscript-preparation/5636#c3324

Papers maximum length is 10 pages.
- Papers must be formatted according to Springer format.