Algorithms for Natural Computing Models

Dear Colleagues,

Natural computing is a large area of research that involved both theoretical investigations and practical applications. Nature has always been a source of inspiration for the development of computational models, such as cellular automata, evolutionary computation, neural networks, and membrane computing to name but a few.

In this Special Issue, we want to collect the most recent works on natural computing models used either as a model for computation or as a tool for optimization. The former involves models like cellular automata, P systems, and reaction systems. All of them are characterized by inherent parallelism. The latter involves all evolutionary computation techniques (e.g., genetic algorithms, genetic programming, evolutionary strategies), swarm intelligence methods (e.g., particle swarm optimization, ant colony optimization), and connectivist models (e.g., neural networks in all their incarnations).

We invite contributions that explore the theoretical and practical aspects of natural computing. This includes (but is not limited to) research in the following areas:

• The computational power of natural computing models and their ability to solve intractable problems efficiently;
• Theoretical aspects and definition of new or improved evolutionary or swarm intelligence techniques;
• Application of natural computing in the modeling and simulation of complex systems;
• Practical applications of natural computing methods in the areas of health, earth sciences, biology, cryptography, security, social sciences, and economics.

Dr. Luca Mariot
Dr. Luca Manzoni
Guest Editors

Manuscript Submission Information

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