Optimisation and simulation methods and techniques have rapidly evolved over the last decades. One factor that explains this development is outstanding and continuous improvement in computer hardware and software. Another factor is the increasing use of problem-solving approaches that benefit from more computing power, e.g. metaheuristics, hybrid algorithms, parallel and distributed computing, large-scale simulations, multi-agent approaches, etc.
However, despite these significant advances in this scientific arena, there seems to be an important gap between theory and practice; most industrial sectors (including services) are still far from employing the full potential of state-of-the-art scientific advances in optimisation and simulation.
This special issue aims at providing a set of selected articles which describe, mostly in case-study style, how optimisation and simulation methods and techniques have been successfully applied in real-life scenarios. In this regard, submitted articles should describe in detail how optimisation and/or simulation methods and techniques were selected and adapted to the particular problem at hand, what challenges needed to be addressed, and how the application of these methods and techniques has contributed to advancement in industrial, management or telecommunication systems and/or processes.
Suitable topics include but are not limited to:
- Genetic algorithms
- Metaheuristics
- Machine learning
- Mathematical programming
- Case studies
- Business reengineering
- Computer simulation
- Decision support systems
- Fuzzy sets and fuzzy logic
- Parallel and distributed computing
- Transportation and logistics
- Process scheduling
- System availability
- Environmental issues
Article submission deadline: 30 December, 2011
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