Synopsis
In a recent economical competitive environment, the firms reduce their product cost without compromising the quality. This research work concentrates on the perfect packing of goods into the container by considering major practical constraints using an evolutionary algorithm, which is essential for a firm to survive in today’s competitive globalized environment. This research is done with few assumptions and constraints by considering the reality of logistics. A Fisherman Based Heuristic Approach (FBHA) and a Sheep Flock Based Meta-Heuristic Approach (SFBMHA) have been developed to solve the bin packing problem. In further, Genetic Algorithm (GA) Integrated Approaches (GAIAs) are defined as the combined approach of heuristic/metaheuristic and optimization technique. The proposed FBHA, SFBMHA, and GAIAs have to be validated through standardized problems to determine the efficiency of the methodologies. The GAIAs are better to FBHA and SFBMHA by the integration genetic algorithm, which about 4.5% and 4% respectively in achieving effective space utilization. The processing time to achieve the above effectiveness is around 4 and 11 seconds for GAIA-I and GAIA-II respectively.
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OPTIMIZATION OF BIN PACKING PROBLEMS USING META HEURISTIC APPROACH
Edité par
LAP LAMBERT Academic Publishing Okt 2021, 2021
ISBN 10 : 620420968X
ISBN 13 : 9786204209685
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In a recent economical competitive environment, the firms reduce their product cost without compromising the quality. This research work concentrates on the perfect packing of goods into the container by considering major practical constraints using an evolutionary algorithm, which is essential for a firm to survive in today's competitive globalized environment. This research is done with few assumptions and constraints by considering the reality of logistics. A Fisherman Based Heuristic Approach (FBHA) and a Sheep Flock Based Meta-Heuristic Approach (SFBMHA) have been developed to solve the bin packing problem. In further, Genetic Algorithm (GA) Integrated Approaches (GAIAs) are defined as the combined approach of heuristic/metaheuristic and optimization technique. The proposed FBHA, SFBMHA, and GAIAs have to be validated through standardized problems to determine the efficiency of the methodologies. The GAIAs are better to FBHA and SFBMHA by the integration genetic algorithm, which about 4.5% and 4% respectively in achieving effective space utilization. The processing time to achieve the above effectiveness is around 4 and 11 seconds for GAIA-I and GAIA-II respectively. 188 pp. Englisch. N° de réf. du vendeur 9786204209685
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OPTIMIZATION OF BIN PACKING PROBLEMS USING META HEURISTIC APPROACH
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 620420968X
ISBN 13 : 9786204209685
Neuf
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Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: R. SRIDHARDr. R. Sridhar is a young and dynamic professor he is working as an Associate professor in the Department of Mechanical Engineering, VISTAS from 2012 onwards. He is an expert in teaching Manufacturing Technology and Engine. N° de réf. du vendeur 523782309
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OPTIMIZATION OF BIN PACKING PROBLEMS USING META HEURISTIC APPROACH
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 620420968X
ISBN 13 : 9786204209685
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. OPTIMIZATION OF BIN PACKING PROBLEMS USING META HEURISTIC APPROACH | Sridhar R. (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204209685 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 120773565
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OPTIMIZATION OF BIN PACKING PROBLEMS USING META HEURISTIC APPROACH
Edité par
LAP LAMBERT Academic Publishing Okt 2021, 2021
ISBN 10 : 620420968X
ISBN 13 : 9786204209685
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In a recent economical competitive environment, the firms reduce their product cost without compromising the quality. This research work concentrates on the perfect packing of goods into the container by considering major practical constraints using an evolutionary algorithm, which is essential for a firm to survive in today¿s competitive globalized environment. This research is done with few assumptions and constraints by considering the reality of logistics. A Fisherman Based Heuristic Approach (FBHA) and a Sheep Flock Based Meta-Heuristic Approach (SFBMHA) have been developed to solve the bin packing problem. In further, Genetic Algorithm (GA) Integrated Approaches (GAIAs) are defined as the combined approach of heuristic/metaheuristic and optimization technique. The proposed FBHA, SFBMHA, and GAIAs have to be validated through standardized problems to determine the efficiency of the methodologies. The GAIAs are better to FBHA and SFBMHA by the integration genetic algorithm, which about 4.5% and 4% respectively in achieving effective space utilization. The processing time to achieve the above effectiveness is around 4 and 11 seconds for GAIA-I and GAIA-II respectively.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 188 pp. Englisch. N° de réf. du vendeur 9786204209685
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Image fournie par le vendeur
OPTIMIZATION OF BIN PACKING PROBLEMS USING META HEURISTIC APPROACH
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 620420968X
ISBN 13 : 9786204209685
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In a recent economical competitive environment, the firms reduce their product cost without compromising the quality. This research work concentrates on the perfect packing of goods into the container by considering major practical constraints using an evolutionary algorithm, which is essential for a firm to survive in today's competitive globalized environment. This research is done with few assumptions and constraints by considering the reality of logistics. A Fisherman Based Heuristic Approach (FBHA) and a Sheep Flock Based Meta-Heuristic Approach (SFBMHA) have been developed to solve the bin packing problem. In further, Genetic Algorithm (GA) Integrated Approaches (GAIAs) are defined as the combined approach of heuristic/metaheuristic and optimization technique. The proposed FBHA, SFBMHA, and GAIAs have to be validated through standardized problems to determine the efficiency of the methodologies. The GAIAs are better to FBHA and SFBMHA by the integration genetic algorithm, which about 4.5% and 4% respectively in achieving effective space utilization. The processing time to achieve the above effectiveness is around 4 and 11 seconds for GAIA-I and GAIA-II respectively. N° de réf. du vendeur 9786204209685
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