Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 2 } Abstract.  presents a method to select the optimum design of turbo- alternator (TA) using modified elitist non-dominated sorting genetic algorithm (NSGA-II). , 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 ll for the TA design. It found more number of optimal solutions with better di- versity for the real-life TA design.
['K. V. R. B. Prasad', 'Pravin M. Singru']
I am writing a research paper on a idea Optimum Design of Turbo-Alternator Using Modified NSGA-II Algorithm
[{"from": "human", "value": "I am writing a research paper on a idea Optimum Design of Turbo-Alternator Using Modified NSGA-II Algorithm"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 2 } Abstract.  presents a method to select the optimum design of turbo- alternator (TA) using modified elitist non-dominated sorting genetic algorithm (NSGA-II). , 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 ll for the TA design. It found more number of optimal solutions with better di- versity for the real-life TA design."}]