Jones, PhilTiwari, AshutoshRoy, RajkumarCorbett, John2011-10-112011-10-112004-06-01P.M. Jones, A. Tiwari, R. Roy, J. Corbett, Optimisation of the High Efficiency Deep Grinding Process with Fuzzy Fitness Function and Constraints, Evolutionary Computation, 2004. CEC2004. Congress on, 19-23 June 2004, pp574-581 Vol.1.780385152http://dx.doi.org/10.1109/CEC.2004.1330909http://dspace.lib.cranfield.ac.uk/handle/1826/2678This paper describes the application of two multi-objective optimisation techniques to the high efficiency deep grinding process. The process is modelled using a fuzzy expert system. This allows understanding gained through theoretical analysis to be combined with empirical data in a solitary model. The objective is to simultaneously minimise the surface temperature and specific grinding energy. A problem constraint is represented within the fuzzy model. It forms an objective representing the degree of feasibility of the solution.expert systemsfuzzy systemsgrindingoptimisationOptimisation of the High Efficiency Deep Grinding Process with Fuzzy Fitness Function and Constraints.Conference paper