Titlebook: Decision Science in Action; Theory and Applicati Kusum Deep,Madhu Jain,Said Salhi Book 2019 Springer Nature Singapore Pte Ltd. 2019 Optimiz

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NSGA-II Based Decision-Making in Fuzzy Multi-objective Optimization of System Reliability, the vague and imprecise information involved in the system. NSGA-II is employed to obtain the Pareto solutions efficiently. Finally, one out of these solutions is obtained by the decision-making methods such as TOPSIS and Shannon’s entropy approach. The efficiency of the proposed approach is compared with the existing approach.

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2522-5162 ance.Discusses theoretical studies that underpin some of the.This book provides essential insights into a range of newly developed numerical optimization techniques with a view to solving real-world problems. Many of these problems can be modeled as nonlinear optimization problems, but due to their

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https://doi.org/10.1007/978-90-368-2580-1he system elements over the time. In the present work, various characteristics of RMS have been discussed and formulated. Weighted sum theory has been used for the selection of best manufacturing system. An illustration is given to analyze the applicability of the proposed methodology on a given system.

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Marianne. Het meisje dat niet eten wilts of motion related to conservation of mass, momentum, and energy are investigated. We have also studied the propagation of single solitary wave motion and two solitary waves interaction. It has been observed that the obtained numerical results are acceptable and more accurate.

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B. Willemse,E. J. Duiverman,K. Knoletic programming (CGP) one. We show that the proposed algorithm exceeds the GP and CGP algorithms both in the time required for search for a solution (more than by an order of magnitude in the most cases) and in the probability of finding a given model.

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E. P. van Puijenbroek,J. A. M. Dekens-Konterm for solving all of these problems, except Sphere and Rosenbrock functions. Furthermore, the applicability of this algorithm is demonstrated by solving a real-life problem, i.e., gear train design problem.

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