Special Issue on Intelligent Manufacturing Engineering

The Special Issue on Intelligent Manufacturing Engineering focuses on the most recent developments in intelligent computation and related methodologies, including fuzzy logic, neural networks, genetic algorithms, evolutionary computation, biological manufacturing systems as well as hybrid systems combining one or more of these techniques as applied to manufacturing engineering and systems problems. The specific topics dealt with in the Special Issue are: fuzzy logic based behaviour of multi-robot system coordination; fuzzy logic based tube hydroforming process design; FEM and neural simulation for process modelling of selective laser sintering; neural network modelling of nickel alloy rheological behaviour, intelligent identification of optimum model for mild steel behaviour in hot forming; unsupervised neural network approach to fine-tuning of rolling mills; hybrid neural network and fuzzy logic modelling of laser welding quality; genetic algorithms based optimisation of milling operations; evolutionary strategy for optimisation of mould temperature control; reinforcement learning approach to self-organisation in biological manufacturing systems.