The use of nature inspired optimisation algorithms have been a recent interest among the researchers of various research communities. The main reason behind the success rate of nature inspired and swarm based algorithms is the capability to solve the NP-hard problems. These techniques are being increasingly widely applied to a variety of problems, ranging from practical applications in industry and commerce to leading-edge scientific research. Starting from the Genetic Algorithm to the trends of the present day development, nature inspired algorithms have been a keen interest among all the wide variety of researchers. The technique indicates to the computational processes observed in nature, and human-designed computing inspired by nature. When complex natural phenomena are analysed in terms of computational processes, our understanding of both nature and the essence of computation is enhanced. It is an emerging interdisciplinary area in which a range of techniques and methods are studied for dealing with large, complex, and dynamic problems.
The main intent of this Special issue will be to cover both the theory and applications of various nature inspired algorithms techniques embedded to the diversified spanning fields of neural networks, connectionist system, artificial intelligence, fuzzy systems etc. It will aim to provide an intellectual forum for researchers in academia, and scientists and engineers from a wide range of application areas to present their latest research findings in nature inspired algorithms to identify future challenges in this novel combination of research areas.
The issue will carry revised and substantially extended versions of selected papers presented at the 4th International Conference on Computational Intelligence in Data Mining 2017 (ICCIDM-2017), 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:
- Nature inspired algorithms
- Swarm intelligence techniques
- Artificial immune systems
- Knowledge discovery and data mining
- Evolutionary computation
- Machine learning techniques
- Learning classifier systems
- Fuzzy computation
- Software engineering with nature inspired algorithms
- Applications of nature inspired algorithms to WSN
- Artificial intelligence
- Intelligent algorithms
- Bio-inspired computation
Important DatesManuscripts due by: 5 March, 2018
Notification to authors: 5 June, 2018
Final versions due by: 15 July, 2018