Abstract
This paper presents a method to select the optimum design of turbo-alternator (TA) using modified elitist non-dominated sorting genetic algorithm (NSGA-II). In this paper, a real-life TA used in an industry is considered. The probability distribution of simulated binary crossover (SBX-A) operator, used in NSGA-II algorithm, is modified with different probability distributions. The NSGA-II algorithm with lognormal probability distribution (SBX-LN) performed well for the TA design. It found more number of optimal solutions with better diversity for the real-life TA design.
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Prasad, K.V.R.B., Singru, P.M. (2013). Optimum Design of Turbo-Alternator Using Modified NSGA-II Algorithm. In: Bansal, J., Singh, P., Deep, K., Pant, M., Nagar, A. (eds) Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012). Advances in Intelligent Systems and Computing, vol 202. Springer, India. https://doi.org/10.1007/978-81-322-1041-2_22
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DOI: https://doi.org/10.1007/978-81-322-1041-2_22
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