Computational optimisation techniques are widely used to address complex real-world problems in the fields of process engineering, telecommunication and network engineering, control engineering, system engineering, industrial engineering, operations research and economics.
Due to the nature of these problems, the selection of best solutions from a set of available alternatives is required in many cases. With the rapid development of computer and networking technology in recent years, many complex real-world problems can now be solved using a combination of increased computational power and advanced optimisation techniques.
The scope of this special issue covers a broad spectrum of areas with multi-disciplinary interests in optimisation concepts, techniques and applications. In particular, this issue welcomes original work on identifying new research challenges and developing new models and algorithms.
Suitable topics include but are not limited to the following:
- Mobile/wireless network optimisation
- Computer and network security optimisation
- Computing job and/or resource scheduling and optimisaion in computer networking, grid/cloud computing, and parallel/cluster computing
- Application of grid/cloud optimisation techniques for bioinformatics
- Optimisation methods for protein folding
- Production planning, scheduling and optimisaiton
- Process modelling, control and optimal design
- Optimisation techniques for graph drawing and VLSI
- Artificial intelligence and operations research
- Heuristics, e.g. genetic algorithms, simulated annealing and/or tabu search
- Mathematical programming and constraint programming
- Optimisation and decision-making support
- Supply chain and logistics
- Software and/or system engineering
- Digital and/or flexible manufacturing
- CAD, CAM, CIM
Manuscript due date: 28 June, 2012
Notification of acceptance: 28 September, 2012
Submission of final manuscript: 28 October, 2012
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