Recently, increasing interests have been devoted to applying computational
intelligence (CI), which combines elements of learning, adaptation, fuzzy logic
(rough sets), and evolution to develop methodologies for solving large-scale,
complex combinatorial optimization problems. In dealing with such optimization
problems, important issues, e.g., external disturbances, uncertainty, changing
environments, computational cost, and scalability must be taken into account.
The aim of this special session is to bring together researchers from various
fields, in which computational intelligence is playing an essential role for
solving combinatorial problems, thus providing a platform where researchers with
different backgrounds may exchange ideas. Related topics include, but are not
limited to:
Theoretical aspects in solving complex combinatorial problems with CI
dynamic scheduling problems
search for robust solutions
handling computationally expensive problems
handling multiple objectives
hybrid methods
domain knowledge discovery and reuse
improving scalability
Application of CI to
manufacturing scheduling problems
packing, routing and transportation problems
employee scheduling
facility layout problems
TSP problems
Important dates:
Deadline for all paper submission:
December 1, 2007
Notification of acceptance:
February 1, 2008
Deadline for final paper submission:
March 1, 2008
Submission:
Please visit
WCCI2008
for the instructions for authors.
Please note that all papers submitted to
this special session should choose EC07
- Computational Intelligence for Solving Complex Combinatorial Problems
Organizers:
Prof. Pei-Chann Chang
Dept. of Industrial Engineering and Manegement
Yuan Ze University,
Email: iepchang@saturn.yzu.edu.tw Dr. Yaochu Jin
Honda Research Institute Europe,
Email: yaochu.jin@honda-ri.de
