Optimal Weight Design for Truss Structure: Using Genetic Algorithm and Particle Swarm Optimization - Couverture souple
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Résultats de recherche pour Optimal Weight Design for Truss Structure: Using Genetic...
Image fournie par le vendeur
Optimal Weight Design for Truss Structure
Edité par
LAP LAMBERT Academic Publishing Mrz 2021, 2021
ISBN 10 : 620357399X
ISBN 13 : 9786203573992
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786203573992
Acheter neuf
EUR 54,90
Expédition à EUR 23
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Optimal Weight Design for Truss Structure
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 620357399X
ISBN 13 : 9786203573992
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 4 sur 5 étoiles
Etat : 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. N° de réf. du vendeur 467237602
Acheter neuf
EUR 45,45
Expédition à EUR 48,99
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Optimal Weight Design for Truss Structure
Edité par
LAP LAMBERT Academic Publishing Mär 2021, 2021
ISBN 10 : 620357399X
ISBN 13 : 9786203573992
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786203573992
Acheter neuf
EUR 54,90
Expédition à EUR 60
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Optimal Weight Design for Truss Structure : Using Genetic Algorithm and Particle Swarm Optimization
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 620357399X
ISBN 13 : 9786203573992
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786203573992
Acheter neuf
EUR 55,56
Expédition à EUR 60,75
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 1 disponible(s)