Evolutionary computation (EC) techniques – including genetic algorithms, evolution strategies, genetic programming, particle swarm optimisation, ant colony optimisation, differential evolution and memetic algorithms – have shown themselves to be effective for search and optimisation problems. Recently, EC has produced promising results and has become an important tool in computational creativity, for example in interactive EC (IEC), EC for human-related applications, EC-based visual/auditory/haptic design and EC for analysing human characteristics.
The motivation of this special issue is to invite researchers to address various challenging optimisation problems using evolutionary computation. The aim of the issue is to initiate discussion and deliberation particular to recent advances in intelligent computation.
The issue will carry revised and substantially extended versions of selected papers presented at the 7th International Symposium on Intelligence Computation and Applications (ISICA 2015), but we also strongly encourage researchers unable to participate in the conference to submit articles for this call.
Suitable topics include, but are not limited to, the following:
- Convergence analysis and parameter choice in PSO
- Evolutionary computation
- Particle swarm optimisation
- Evolutionary neural networks
- Evolutionary games and multi-agent systems
- Artificial life and artificial ecology
- Neural networks and learning systems
- Secure computation
- Machine learning and pattern recognition
- Deep learning
- Fuzzy systems
- Fuzzy image, speech and signal processing
- Knowledge discovery, learning and reasoning
Submission of manuscripts: 25 January, 2016