Bio-inspired computation is a field of study that loosely knits together subfields related to the topics of connectionism, social behaviour and emergence. It is often closely related to the field of artificial intelligence, as many of its pursuits can be linked to machine learning. It relies heavily on the fields of biology, computer science and mathematics. Bio-inspired computation is an umbrella term for different computational approaches that are based on principles or models of biological systems. Therefore, bio-inspired methods are becoming increasingly important in face of the complexity of today's demanding applications, and accordingly they have been successfully used in various fields ranging from computer engineering and mechanical engineering to chemical engineering and molecular biology.
The objective of this special issue is to bring researchers from academic and industry together to report and review the latest progresses in this field, and to explore future directions.
Papers to be included in this special issue should be focused on one or more of topics which include but are not limited to:
- New bio-inspired methodologies learning from the natural living creatures, physical and chemistry phenomenon, and artificial society
- New bio-inspired methodology analysis tools such as rough sets and stochastic process, etc.
- Theoretical improvements for current bio-inspired computation methodologies
- Recent advances on existing bio-inspired methodologies, e.g. evolutionary computation, particle swarm optimization, ant colony algorithm, etc.
- Applications with bio-inspired methodologies
Deadline for submission: 25 September 2010
Acceptance Notification: 25 December 2010
Deadline for Final submission: 25 January 2011
No comments:
Post a Comment