Baskar, N., P. Asokan, G. Prabhaharan and R. Saravanan, 2005. Optimization of machining parameters for milling operations using non-conventional methods. Int. J. Adv. Manuf. Technol., 25: 1078-1088.
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Haq, A.N., K. Sivakumar, R. Saravanan and V. Muthiah, 2005. Tolerance design optimization of machine elements using genetic algorithm. Int. J. Adv. Manuf. Technol., 25: 385-391.
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Jerald, J., P. Asokan, G. Prabaharan and R. Saravanan, 2005. Scheduling optimisation of flexible manufacturing systems using particle swarm optimisation algorithm. Int. J. Adv. Manuf. Technol., 25: 964-971.
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Jerald, J., P. Asokan, R. Saranavan and A.D.C. Rani, 2006. Simultaneous scheduling of parts and automated guided vehicles in an FMS environment using adaptive genetic algorithm. Int. J. Adv. Manuf. Technol., 29: 584-589.
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Natarajan, U., V.M. Periasamy and R. Saravanan, 2007. Application of particle swarm optimisation in artificial neural network for the prediction of tool life. Int. J. Adv. Manuf. Technol., 31: 871-876.
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Ramabalan, S., R. Saravanan and C. Balamurugan, 2009. Multiobjective dynamic optimal trajectory planning of robot manipulators in the presence of obstacles. Int. J. Adv. Manuf. Technol., 41: 580-594.
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Ravichandran, K. S., K.C. Sekhara Rao and R. Saravanan, 2002. The role of fuzzy and genetic algorithms in part family formation and sequence optimisation for flexible manufacturing systems. Int. J. Adv. Manuf. Technol., 19: 879-888.
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Ravichandran, K. S., K.C. Sekhara Rao and R. Saravanan, 2002. The role of fuzzy and genetic algorithms in part family formation and sequence optimisation for flexible manufacturing systems. Int. J. Adv. Manuf. Technol., 19: 879-888.
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Saravanan, R. and M. Sachithanandam, 2001. Genetic algorithm (GA) for multivariable surface grinding process optimisation using a multi-objective function model. Int. J. Adv. Manuf. Technol., 17: 330-338.
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Saravanan, R., P. Asokan and K Vijayakumar, 2003. Machining parameters optimisation for turning cylindrical stock into a continuous finished profile using genetic algorithm (GA) and simulated annealing (SA). Int. J. Adv. Manuf. Technol., 21: 1-9.
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Saravanan, R., P. Asokan and M. Sachidanandam, 2002. A multi-objective genetic algorithm (GA) approach for optimization of surface grinding operations. Int. J. Mach. Tools Manuf., 42: 1327-1334.
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Saravanan, R., R.S. Sankar, P. Asokan, K. Vijayakumar and G. Prabhaharan, 2005. Optimization of cutting conditions during continuous finished profile machining using non-traditional techniques. Int. J. Adv. Manuf. Technol., 26: 30-40.
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Saravanan, R., S. Ramabalan and C. Balamurugan, 2008. Evolutionary collision free optimal trajectory planning for intelligent robots. Int. J. Adv. Manuf. Technol., 36: 1234-1251.
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Saravanan, R., S. Ramabalan, N.G.R. Ebenezer and R. Natarajan, 2009. Evolutionary bi-criteria optimum design of robots based on task specifications. Int. J. Adv. Manuf. Technol., 41: 386-406.
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Saravanan, R.S., Ramabalan and C. Balamurugan, 2008. Evolutionary optimal trajectory planning for industrial robot with payload constraints. Int. J. Adv. Manuf. Technol., 38: 1213-1226.
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