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Electro Discharge Machining (EDM) is extensively used to machine the ceramic composites and electrically conductive materials but due to the abrasive reinforcement, the wear rate may get reduced. This work spotlights on optimizing the developed mathematical models of the Metal Removal Rate (MRR) and Tool Wear Rate (TWR) in terms of machining parameters. The Response Surface Methodology (RSM) (L31 empirical model) was used for conducting the basic trails with Al/TiC composites of various compositions. The mechanical and physical properties of Al/TiC composites were analyzed and the SEMmorphology of the machined samples was examined using FESEM. The models developed for predicting responses were tested by analysis of variance (ANOVA) to evaluate its adequacy. The optimization of machining parameters was done by Genetic Algorithm (GA) to acquire minimum TWR with maximum MRR.

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