Manuscript Topics

Nature is a great source of inspiration to provide solutions in complicated problems. Under evolutionary processes, species are forced to develop highly optimized skills for their survival. Some of these behaviors can be used to design algorithms for real-world problems. Bio-inspired algorithms represent a research area that uses computing schemes extracted from natural phenomena or bio-systems. Such schemes provide sufficient information to design high-performance computing approaches and intelligent paradigms with the capacity for solving complicated formulations.

Bio-inspired algorithms and Bio-systems consider as fundamental areas biology, mathematics, and computer science. With these tools, biologists study natural phenomena to build their models while engineers employ these models as computing schemes for solving complex real-world problems. This special issue aims to provide a collection of high quality research articles that address broad challenges in both theoretical and application aspects of Bio-inspired algorithms and Bio-systems. We invite colleagues to contribute original research articles as well as review articles that will stimulate the continuing effort on Bio-inspired algorithms and Bio-systems approaches to solve problems in different domains.

Potential topics include, but are not limited to:

Foundations, improvements or hybridization of
Neural Computing
Evolutionary computation
Nature-inspired Metaheuristics (such as simulated annealing, ant colony optimization, particle swarm optimization, bee colony optimization, etc.)

Models or simulations of
Self-organizing and self-replicating systems
Biological adaptability
Simulation of genetic and ecological systems

With applications in
Control process
Decision Making
Signal and Image processing
Power systems

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