-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] Call for papers in the Special Session: Socio Inspired Optimization Algorithms at NaBIC 2015 Datum: Tue, 28 Jul 2015 17:03:16 +0000 Von: #KULKARNI ANAND JAYANT# KULK0003@e.ntu.edu.sg An: aisworld@lists.aisnet.org aisworld@lists.aisnet.org

Dear All

Apologies for cross postings!!!

Call for papers in the 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 10, 2015 Final manuscript and registration due: September 25, 2015 Conference: December 01-03, 2015

Paper format and author instructions: Please consult conference web site: http://www.mirlabs.net/nabic15 The SS webpage: http://www.mirlabs.net/nabic15/SS5.pdf

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

-- Dr. Anand Jayant Kulkarni PhD (MAE) Nanyang Technological University, Singapore | MS (AI) U of Regina, Canada | BEng (Mech) Shivaji University, India | Dip (Mech) MSBTE Mumbai, India | Email: kulk0003@{ntu.edu.sg; uwindsor.ca}| Web: https://sites.google.com/site/oatresearch/anand-jayant-kulkarni

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