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.
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
Submission deadline: 30 September, 2013
Acceptance notification: 31 December, 2013
Final manuscript submission: 15 February, 2014