Call for paper:

Evolutionary computation has become an important problem solving
method among many researchers working in the area of computational
intelligence. In a hybrid evolutionary algorithm, a classic
evolutionary method can be assisted by various techniques including
evolutionary algorithms themselves, Neural Networks, Fuzzy logic,
Particle Swarm Optimization, Ant colony Optimization, Variable
neighborhood search, other local search methods, or even exact
optimization techniques such as the branch-and-bound.

Evolutionary computation has established itself as a powerful
technique for the design, search and optimization in a number of
industry sectors such as logistics, supply chain etc.., with a number
of applications such as intelligent routing, scheduling, timetabling
and planning. There is however a lot of scope for further application
and use of hybrid evolutionary algorithms in different sectors.

In this session we are interested in both the theory of the new hybrid
evolutionary methods and their applications in different industry
sectors such as tourism, mining, transportation etc. We invite case
studies detailing success scenarios and pitfalls of the use and
application of the hybrid evolutionary methods to different industry
sectors.

FURTHER INFORMATION
Further information on the special session can be found on its webpage:
https://sites.google.com/site/callforpaperscec2015hybridci/home
http://sites.ieee.org/cec2015/paper_submission/

Organizers

Morteza Saberi,
School of Business, UNSW Canberra, Australia
University of Tafresh, Tafresh, Iran
mosaberi@tafreshu.ac.ir

Ali Divasalar,
UGent, Department of Industrial Management, Ghent, Belgium
Ali.Divsalar@ugent.be

Farookh Khadeer Hussain,
University of Technology, Sydney, Australia
farookh.hussain@uts.edu.au

Elizabeth Chang,
School of Business, UNSW Canberra, Australia
E.Chang@adfa.edu.au

Omar Khadeer Hussain,
School of Business, UNSW Canberra, Australia
o.hussain@adfa.edu.au