SMCLSP 2013 - Special Session: Scalable Meta-heuristic Computing in Large Size Problems

To bring together the works of active researchers of this emerging field to present the latest developments. Its main motivation is to identify key mechanisms that may make evolutionary algorithms and meta-heuristics to be scalable on large scale problems.
Topics: Theoretical Advances of Scalable Meta-heuristic Algorithms, Applications of Meta-heuristics to Combinatorial Optimization Problems, Engineering of meta-heuristics algorithms, Intelligent Expert Systems, Optimization methods, Hybrid meta-heuristics, Memetic algorithms, Differential evolution, Fuzzy Logic, Genetic Algorithm, Particle Swarm Optimization, Artificial Bee Colony, Global optimization.
Session Organizers:
Bhabani Shankar P M
KIIT University, India
mishra.bsp-AT-gmail.com Satchidananda Dehuri
Ajou University, Suwon, South Korea
satchi.lapa-AT-gmail.com