Interdisciplinary Artificial Intelligence: Methods and Applications of Nature-Inspired Computing II

Dear Colleagues,

The possibility of taking inspiration from nature has been widely explored, from the macro- to the microscale. From a scientific perspective, methods inspired by nature have proven to be efficient tools for tackling real-world problems, because most of the latter are highly complex or resources to analyze them are limited. This inspiration is supported by the fact that natural phenomena mainly draw on adaptability, optimization, robustness, and organization, among other properties, to deal with complexity. Three methodologies inspired by nature are commonly considered: man-designed problem-solving techniques, the synthesis of natural phenomena to develop algorithms, and the use of nature-inspired materials to perform computations. Applications of nature-inspired computing include data mining, machine learning, optimization, robotics, engineering control systems, human–machine interactions, healthcare, internet of things, cloud computing, smart cities, and many others.

This Special Issue aims to cover original research works with an emphasis on the methodologies and applications of nature-inspired computing to handle complex systems. This Special Issue invites submissions on topics related—but not limited—to:

• Biologically inspired methods (e.g., evolutionary algorithms, artificial immune systems, swarm intelligence, artificial neural networks)
• Chemically inspired methods (e.g., molecular computing, artificial organic networks, DNA computing, chemical reaction optimization)
• Physically inspired methods (e.g., simulated annealing, quantum computing)
• Fuzzy systems and hybrid methods for learning, reasoning, and optimization
• Machine learning and data mining based on nature-inspired computing
• Applications of nature-inspired computing in robotics, bio-robotics, and control systems
• Applications of nature-inspired computing in healthcare
• Applications of nature-inspired computing in big data and data science
• Applications of nature-inspired computing for internet of things
• Applications of nature-inspired computing for smart cities, smart grids, and sensors
• Applications of nature-inspired computing for engineering in general

Dr. Hiram Ponce
Dr. Lourdes Martínez-Villaseñor
Dr. Miguel González-Mendoza
Guest Editors

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