Optimisation is an important branch of applied mathematics. Many real life problems arising from different fields such as operations research, management science, computer science, engineering design, financial engineering, economics and biological science can be modelled as optimisation problems. On the other hand, soft computing is a term within computer science which is characterised by the use of inexact solutions to computationally hard tasks, for which there is no known algorithm. Soft computing is tolerant of imprecision, uncertainty, partial truth, and approximation.
In effect, the role model for soft computing is the human mind, being highly multidisciplinary in nature. This special issue will cover the latest developments in the role of modelling in optimisation and soft computing techniques and its application in various domains.
Suitable topics include, but are not limited to, the following:
- Theory and algorithm of optimisation
- Portfolio optimisation
- Fuzzy optimisation
- Multi-objective programming
- Optimisation in VLSI design
- Reliability optimisation
- Curve fitting
- Fuzzy sets and fuzzy logic; rough sets
- Synthesis of antennal array
- Chemical equilibrium
- Protein folding
- Wireless network systems
- Nuclear magnetic resonance experimental design
- Other areas of application
Important Dates
Full paper submission: 31 January, 2015
Notification to authors: 31 March, 2015
Final version submission: 31 May, 2015
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