Swarm intelligence-based optimisation techniques are becoming more popular by the day and have been widely used for optimisation in various domains of science and engineering applications.
Looking into recent trends in the energy sector we see that, as systems becomes more and more competitive in nature, swarm intelligence based-optimisation algorithms play a vital role in solving the complex and large-scale power system optimisation problems.
This special issue will therefore focus on recent advances in swarm intelligence applications in power engineering.
Suitable topics include but are not limited to:
- Particle swarm optimisation
- Ant colony algorithms
- Bee algorithms
- Cuckoo searches
- Differential evolution
- Evolutionary algorithms
- Genetic algorithms
- Firefly algorithms
- Harmony searches
- Simulated annealing
- Application areas in power engineering
- Power system planning
- Power system operation and control
- Machines and drives
- Smart grid
Submission deadline: 1 March, 2013
Acceptance notification: 1 June, 2013
Final manuscript submission: 1 July, 2013