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Deterministic and Stochastic Models in Optimization Theory: Optimization, Optical Designing, Stability Analysis, Log-scaled Mutation, Genetic Algorithm - Brossura
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Optimization theory emerges as an integral part of applied mathematics in order to address complex scientific and engineering problems. Optical optimization is formulated mathematically by considering the corresponding focal length of the lens/ mirror as the objective function subject to object distance and lateral magnification. The stability domains of objective function are examined by multivariable calculus and eigenvalue analysis. Qualitative depictions of stability components are provided to enhance the comprehension of optical systems. This book gives criteria for the domains in searching the global optima. We discuss the notion of the intrinsic optical length, zoom-in, zoom-out, power, constrained and multicomponent optimizations. We propose an Enhanced Selection and Log-scaled Mutation Genetic Algorithm as a metaheuristic optimizer, which arises via the simulated annealing selection and adaptive log-scaled mutation schemes. A hybridization of deterministic and metaheuristic optimization emerges as a novel tool towards industrial applications. Validation on various objective functions reveals that our proposal offers improved convergence in realism of the Genetic Algorithm.
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Er. Jude Kuipo Kibindé is a communication network and security graduate, Dr. Bhupendra Nath Tiwari is a theoretical and mathematical scientist, Dr. Neeraj Gupta is an electrical engineer and Prof. Ninoslav Marina is an information theorist at UIST Ohrid, Macedonia. Our research interests encompass theoretical and mathematical aspects of S&T.
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Deterministic and Stochastic Models in Optimization Theory
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202003758
ISBN 13: 9786202003759
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Deterministic and Stochastic Models in Optimization Theory
Editore:
LAP LAMBERT Academic Publishing Jul 2017, 2017
ISBN 10: 6202003758
ISBN 13: 9786202003759
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Optimization theory emerges as an integral part of applied mathematics in order to address complex scientific and engineering problems. Optical optimization is formulated mathematically by considering the corresponding focal length of the lens/ mirror as the objective function subject to object distance and lateral magnification. The stability domains of objective function are examined by multivariable calculus and eigenvalue analysis. Qualitative depictions of stability components are provided to enhance the comprehension of optical systems. This book gives criteria for the domains in searching the global optima. We discuss the notion of the intrinsic optical length, zoom-in, zoom-out, power, constrained and multicomponent optimizations. We propose an Enhanced Selection and Log-scaled Mutation Genetic Algorithm as a metaheuristic optimizer, which arises via the simulated annealing selection and adaptive log-scaled mutation schemes. A hybridization of deterministic and metaheuristic optimization emerges as a novel tool towards industrial applications. Validation on various objective functions reveals that our proposal offers improved convergence in realism of the Genetic Algorithm. 132 pp. Englisch. Codice articolo 9786202003759
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Deterministic and Stochastic Models in Optimization Theory
Editore:
LAP LAMBERT Academic Publishing Jul 2017, 2017
ISBN 10: 6202003758
ISBN 13: 9786202003759
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Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -Optimization theory emerges as an integral part of applied mathematics in order to address complex scientific and engineering problems. Optical optimization is formulated mathematically by considering the corresponding focal length of the lens/ mirror as the objective function subject to object distance and lateral magnification. The stability domains of objective function are examined by multivariable calculus and eigenvalue analysis. Qualitative depictions of stability components are provided to enhance the comprehension of optical systems. This book gives criteria for the domains in searching the global optima. We discuss the notion of the intrinsic optical length, zoom-in, zoom-out, power, constrained and multicomponent optimizations. We propose an Enhanced Selection and Log-scaled Mutation Genetic Algorithm as a metaheuristic optimizer, which arises via the simulated annealing selection and adaptive log-scaled mutation schemes. A hybridization of deterministic and metaheuristic optimization emerges as a novel tool towards industrial applications. Validation on various objective functions reveals that our proposal offers improved convergence in realism of the Genetic Algorithm.Books on Demand GmbH, Überseering 33, 22297 Hamburg 132 pp. Englisch. Codice articolo 9786202003759
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Deterministic and Stochastic Models in Optimization Theory : Optimization, Optical Designing, Stability Analysis, Log-scaled Mutation, Genetic Algorithm
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202003758
ISBN 13: 9786202003759
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Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Optimization theory emerges as an integral part of applied mathematics in order to address complex scientific and engineering problems. Optical optimization is formulated mathematically by considering the corresponding focal length of the lens/ mirror as the objective function subject to object distance and lateral magnification. The stability domains of objective function are examined by multivariable calculus and eigenvalue analysis. Qualitative depictions of stability components are provided to enhance the comprehension of optical systems. This book gives criteria for the domains in searching the global optima. We discuss the notion of the intrinsic optical length, zoom-in, zoom-out, power, constrained and multicomponent optimizations. We propose an Enhanced Selection and Log-scaled Mutation Genetic Algorithm as a metaheuristic optimizer, which arises via the simulated annealing selection and adaptive log-scaled mutation schemes. A hybridization of deterministic and metaheuristic optimization emerges as a novel tool towards industrial applications. Validation on various objective functions reveals that our proposal offers improved convergence in realism of the Genetic Algorithm. Codice articolo 9786202003759
Quantità: 1 disponibili
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Deterministic and Stochastic Models in Optimization Theory: Optimization, Optical Designing, Stability Analysis, Log-scaled Mutation, Genetic Algorithm
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202003758
ISBN 13: 9786202003759
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Paperback
Da: Revaluation Books, Exeter, Regno Unito
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Paperback. Condizione: Brand New. 132 pages. 8.66x5.91x0.30 inches. In Stock. Codice articolo zk6202003758
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