## 1 Introduction
Two different algorithms, the single genetic algorithm (SGA) and nondominated sorting genetic algorithm (NSGA-II) were identified for the optimisation, and the author finalised the work based on NSGA-II. The input parameters considered were current, pulse-on time, gap voltage and the volume fraction of SiC in the composite. The work identified that the optimisation in both MRR and Ra can be achieved by keeping the current and pulse-on time constant and varying the voltage and the volume fraction of SiC. This algorithm, once developed, can provide a proper optimised condition for the specified input parameters. [PERSON] and [PERSON] [32] carried out an extensive review on electric discharge texturing (EDT) which is a modified EDM used for different applications. The work discussed the diverse level of applications of EDT and different types of EDT adopted for these applications. The work elaborated on the different parameters which controls the output surface topology in EDT. The variation of the surface roughness due to the variation in the parameters was also detailed in the review paper. The development of deliberate surface modifications using EDM and EDT was also discussed. Various modelling methods with the comparison of the output models were carried out in this work. The work identified that 3D multicrater analysis is required for the proper modelling of EDT. [PERSON] et al. [33] carried out research work on the surface topology of an EDM machining of Al6060 alloy with discharge energy as the only input parameter. The study identified the strong influence of discharge energy in the surface topology and the parameters linked with the discharge energy were managed automatically by the EDM machine. The work identified that the generated model failed at finer scales below 11 \(\upmu\)m. The best results on the relationship of surface topology with discharge energy were identified to have occurred in the values ranging from 36 \(\upmu\)m to 41 \(\upmu\)m. [PERSON] et al. [34] conducted investigative studies to identify the relationship between wettability and surface microgeometry of Al6060 alloy. The work was able to identify a strong correlation between parameters pertaining to surface texture and the wettability of the alloy. The size and shape of the surface created due to EDM was identified to have a direct link with the discharge energy and the contact angle, which is the inverse of wettability of the material. [PERSON] et al. [35] carried out machining of stainless-steel surfaces using copper electrode, employing dry EDM with a pulsating magnetic field. The pulsating magnetic field provided a rotating magnetic wave around the spark, thereby improving the spark density. It was identified that the MRR improved by 130% with zero electrode wear when dry EDM with a pulsating magnetic field was used for the machining. [PERSON] et al. [36] worked on the enhancement of pool-boiling heat transfer of Al6061 alloy during EDM. The input parameters which were considered for the study were discharge current and pulse-on time. A data-dependant system was employed to identify the relation between the surface topology and boiling performance during the machining process. The average roughness parameter was identified to have a greater correlation with the crater diameter. [PERSON] et al. [37] carried out studies on the optimisation of parameters for drilling of Al7075 alloy which has been extensively used in the aerospace industry. The NSGA-II algorithm was used for the development of optimised surface roughness and the dimensional error of the drilled hole. The cutting speed, feed rate and drill diameter were taken as the important input parameters for the model. A linear pattern was observed for the relations between the dimensional error and the surface roughness. The algorithm was able to successfully identify the dimensional error for the required surface roughness or vice versa. [PERSON] et.al.