Optimal Weight Design for Truss Structure: Using Genetic Algorithm and Particle Swarm Optimization - Brossura
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This study presents application of genetic algorithm and particle swarm optimization techniques to estimate optimal weight of two truss structures, two-dimensional and three-dimensional truss, satisfying a constrained displacement and allowable stress. Constraints are mostly handled by using the concept of penalty functions. Two strategies of penalty functions, exterior penalty function strategy (EPFS) and self–organizing adaptive penalty strategy (SOAPS), are used in turn to combine with mass function to become objective function of optimization problems. This study proposes the comparison of efficiency and convenience between two penalty function strategies, EPFS and SOAPS, as well as the result of optimal weight for truss structure between genetic algorithm and particle swarm optimization.
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Optimal Weight Design for Truss Structure
Editore:
LAP LAMBERT Academic Publishing Mrz 2021, 2021
ISBN 10: 620357399X
ISBN 13: 9786203573992
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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 -This study presents application of genetic algorithm and particle swarm optimization techniques to estimate optimal weight of two truss structures, two-dimensional and three-dimensional truss, satisfying a constrained displacement and allowable stress. Constraints are mostly handled by using the concept of penalty functions. Two strategies of penalty functions, exterior penalty function strategy (EPFS) and self-organizing adaptive penalty strategy (SOAPS), are used in turn to combine with mass function to become objective function of optimization problems. This study proposes the comparison of efficiency and convenience between two penalty function strategies, EPFS and SOAPS, as well as the result of optimal weight for truss structure between genetic algorithm and particle swarm optimization. 88 pp. Englisch. Codice articolo 9786203573992
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Optimal Weight Design for Truss Structure
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LAP LAMBERT Academic Publishing, 2021
ISBN 10: 620357399X
ISBN 13: 9786203573992
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nguyen Pham The NhanPham The Nhan NGUYEN is a lecturer of manufacturing division of Faculty of Mechanical engineering, University of science and technology, the University of Danang, Vietnam. He received his MS degree from Dongguk Un. Codice articolo 467237602
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Optimal Weight Design for Truss Structure
Editore:
LAP LAMBERT Academic Publishing Mär 2021, 2021
ISBN 10: 620357399X
ISBN 13: 9786203573992
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -This study presents application of genetic algorithm and particle swarm optimization techniques to estimate optimal weight of two truss structures, two-dimensional and three-dimensional truss, satisfying a constrained displacement and allowable stress. Constraints are mostly handled by using the concept of penalty functions. Two strategies of penalty functions, exterior penalty function strategy (EPFS) and self¿organizing adaptive penalty strategy (SOAPS), are used in turn to combine with mass function to become objective function of optimization problems. This study proposes the comparison of efficiency and convenience between two penalty function strategies, EPFS and SOAPS, as well as the result of optimal weight for truss structure between genetic algorithm and particle swarm optimization.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch. Codice articolo 9786203573992
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Optimal Weight Design for Truss Structure : Using Genetic Algorithm and Particle Swarm Optimization
Editore:
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 620357399X
ISBN 13: 9786203573992
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This study presents application of genetic algorithm and particle swarm optimization techniques to estimate optimal weight of two truss structures, two-dimensional and three-dimensional truss, satisfying a constrained displacement and allowable stress. Constraints are mostly handled by using the concept of penalty functions. Two strategies of penalty functions, exterior penalty function strategy (EPFS) and self-organizing adaptive penalty strategy (SOAPS), are used in turn to combine with mass function to become objective function of optimization problems. This study proposes the comparison of efficiency and convenience between two penalty function strategies, EPFS and SOAPS, as well as the result of optimal weight for truss structure between genetic algorithm and particle swarm optimization. Codice articolo 9786203573992
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