EVENT Apr 24
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Special issue on Bio-inspired algorithms and Bio-system

Categories: Science, Engineering
Event Date: 2019-04-24 Abstract Due: 2019-04-24

Special issue on Bio-inspired algorithms and Bio-systems
Journal of Mathematical Biosciences and Engineering
2017 lmpact Factor: 1.230 (Journal Citation Reports)
Guest Editors

Erik Cuevas
Email: erik.cuevas@cucei.udg.mx
University of Guadalajara, CUCEI, Mexico

Diego Oliva 
Email: diego.oliva@cucei.udg.mx
University of Guadalajara, CUCEI, Mexico

Valentín Osuna 
Email: valentin.osuna@cutonala.udg.mx
University of Guadalajara, CUTONALA, Mexico

Call for Papers Announcement

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
More information


Paper Submission

Full text submission due date: 24 April 2019.
Full paper should be submitted online to the journal at 
Before submission, authors should carefully read over the instruction for Authors which are located at http://www.aimspress.com/news/295.html



Diego Oliva