Special Issue "Bioinspired Intelligent Algorithms for Optimization, Modeling and Control: Theory and Applications"
Deadline for manuscript submissions: closed (10 February 2022) | Viewed by 7941
Nowadays, the relevance of artificial intelligence in our daily lives is evident, this has led to recent great advances in the development and implementation of bioinspired intelligent algorithms to solve a wide variety of real-world problems, in addition of the growing interest in the analysis of its mathematical properties. Although artificial intelligence has been developed mainly based on its applications, it is currently not possible to conceive it without its respective theoretical and algorithmic analysis, furthermore to its multidisciplinary motivation and applications. These applications vary from mechatronic systems, artificial vision, biomedical systems, energy systems, transportation, economics, classification, complex networks, economic systems, industry, transportation, among others. The aim of this special issue is to highlight recent advances in the development and application of bioinspired intelligent algorithms to solve real-world problems related to optimization, modeling and control, to provide a space for collaboration between researchers from different disciplines to solve real-world applications with their respective constraints and features in different fields of research. Papers with mathematical analysis and real-world application are particularly welcome.
Topics of interest include, but are not limited to:
- Bioinspired intelligent algorithms for modeling
- Bioinspired intelligent algorithms for control
- Bioinspired intelligent algorithms for optimization
- Data-driven bioinspired intelligent algorithms
- Deep learning bioinspired intelligent algorithms
- Mathematical analysis of bioinspired intelligent algorithms
- Bioinspired intelligent algorithms applications to: robotics, dynamic systems, complex networks, classification, forecasting, biomedical systems, energy systems, industry, transportation, mechatronics, others.
Prof. Dr. Alma Y. Alanis
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