Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The problem of optimizing the reliability of complex systems has been modeled as a fuzzy multi-objective optimization problem. Three different kinds of optimization problems: reliability optimization of a complex system with constraints on cost and ight; optimal redundancy allocation in a multistage mixed system with constraints on cost and ight; and optimal reliability allocation in a multistage mixed system with constraints on cost, ight, and volume have been solved. Four numerical examples have been solved to demonstrate the effectiveness of the present methodology. The influence of various kinds of aggregators is also studied. The inefficiency of the noncompensatory min operator has been demonstrated. One of the ll-known global optimization meta-heuristics, the threshold accepting, has been invoked to take care of the optimization part of the model. A software has been developed to implement the above model. The results obtained are encouraging.
['Vadlamani Ravi', 'P. J. Reddy', 'Hans-Jürgen Zimmermann']
I am writing a research paper on a idea Fuzzy global optimization of complex system reliability
[{"from": "human", "value": "I am writing a research paper on a idea Fuzzy global optimization of complex system reliability"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The problem of optimizing the reliability of complex systems has been modeled as a fuzzy multi-objective optimization problem. Three different kinds of optimization problems: reliability optimization of a complex system with constraints on cost and ight; optimal redundancy allocation in a multistage mixed system with constraints on cost and ight; and optimal reliability allocation in a multistage mixed system with constraints on cost, ight, and volume have been solved. Four numerical examples have been solved to demonstrate the effectiveness of the present methodology. The influence of various kinds of aggregators is also studied. The inefficiency of the noncompensatory min operator has been demonstrated. One of the ll-known global optimization meta-heuristics, the threshold accepting, has been invoked to take care of the optimization part of the model. A software has been developed to implement the above model. The results obtained are encouraging."}]