Special Issue on: "Theoretical Analysis and Benchmarking of Nature-Inspired Algorithms"
Int. J. Bio-Inspired Computation (IJBIC, now SCI-index)


Editor:
Prof. Xin-She Yang, Middlesex University, UK

Despite the huge success and popularity of nature-inspired algorithms in practice in recent years, the mathematical and statistical analysis of these algorithms is still lacking. In fact, apart from limited results on a few limited cases, convergence and stability of most algorithms still remain challenging, open problems.

Furthermore, existing benchmarking and comparison studies of these algorithms are fragmental and without a good framework, which necessitates a systematic approach to benchmarking.

This special issue therefore strives to stimulate more research on the theoretical aspects of nature-inspired algorithms and their benchmarking.

*Subject Coverage*
Suitable topics include but are not limited to:

Mathematical analysis
Complexity of algorithms
Statistical analysis and comparison
Swarm intelligence
Cuckoo search
Firefly algorithm
Particle swarm optimisation
Systematic benchmarking
Bat algorithm
Framework of bio-inspired algorithms
Dynamical systems
Markov chain theory
Large-scale applications
Other new methods


*Notes for Prospective Authors*

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).

All papers are refereed through a peer review process.

All papers must be submitted online. To submit a paper, please read our information on preparing and submitting articles at
http://www.inderscience.com/ijbic

*Important Dates*
Submission deadline: 30 June, 2013
Acceptance notification: 30 September, 2013
Final manuscript submission: 31 October, 2013