Metaheuristic Algorithms for Combinatorial Problems and
Engineering Applications

Nature-inspired metaheuristic algorithms have become popular
in recent years, and they are usually flexible and efficient,
and yet easy to implement. Recent studies show that
nature-inspired algorithms such as particle swarm
optimization, cuckoo search and firefly algorithm can be
very efficient in solving highly nonlinear problems
and even NP-hard problems.

This workshop intends to provide a platform for discussions and
presentations of the latest developments in metaheuristic
algorithms and their applications in combinatorial problems
and diverse engineering optimization problems.
The emphasis will be on both theory and applications,
so that researchers from all disciplines can come together
to discuss their latest research results.

Topics include (not limited):

* Particle swarm optimization
* Bat algorithm
* Cuckoo search
* Firefly algorithm
* Harmony search
* Swarm intelligence
* Other bio-inspired algorithms
* Applications


Organizers:
Dr. Xin-She Yang (Middlesex University, UK)
Dr Dimitris E. Simos (SBA Research, Austria)