Special Session: Socio Inspired Optimization Algorithms
There are several evolutionary and nature inspired algorithms have been developed so far. The
socio inspired algorithms are also becoming popular as they can handle larger sized problems
more efficiently. This is because such techniques collectively use the intelligence of society
individuals. This helps in handling uncertainty more efficiently as well. The technique of Cohort
Intelligence is one of the emerging and popular techniques being applied solving machine
learning as well combinatorial problems.
We invite new socio inspired optimization algorithms. Also, the modifications and applications
of the existing algorithm such as Cohort Intelligence are also invited.
Important Dates:
Paper submission due: August 21, 2015
Notification of paper acceptance: September 15, 2015
Final manuscript and registration due: September 30, 2015
Conference: December 16-18, 2015
Paper format and author instructions:
Please consult conference web site: http://www.mirlabs.net/ibica15/
Organizers
Anand J Kulkarni, Symbiosis Institute of Technology, Symbiosis International University, Pune,
India
Email: kulk0003@ntu.edu.sg; anand.kulkarni@sitpune.edu.in
Ajith Abraham, IT4Innovations, VSB Technical University of Ostrava, Czech Republic
Email: ajith.abraham@ieee.org
Jeevan Kanesan, University Malaya, Lembah Pantai, 50603, Kuala Lumpur
E-mail: jievan@um.edu.my