Synopsis
This study uses multi-pass simulation and genetic algorithm (MPGA) techniques together to decide the best sequences for storage and retrieval requests in a block to form dual commands for a stacker machine in a unit-load/class-based automated storage and retrieval system (AS/RS). For each block of storage and retrieval requests, multi-pass simulation is used to evaluate different storage and retrieval sequences that are provided by GA. Upon GA termination, the stacker machine processes these requests according to the best sequences ever found. To make the comparisons fair and meaningful, all experiments conducted with the same initial system states and run with the same input data streams. By expanding the solution space and using an intelligent search method to take advantage of a larger solution space, MPGA greatly improves the performances of AS/RS model, compared with traditional single-rules approaches that have much smaller solution space. MPGA can run in parallel with the operation of a stacker machine; therefore, MPGA may be used as a real-time dynamic decision making tool.
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About the Author
Yan-Ling Yin, Department of Management Information System,Associate Professor of National Defense University.
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Apply Multi-pass Simulation and Genetic Algorithm to AS/RS Dispatching
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This study uses multi-pass simulation and genetic algorithm (MPGA) techniques together to decide the best sequences for storage and retrieval requests in a block to form dual commands for a stacker machine in a unit-load/class-based automated storage and retrieval system (AS/RS). For each block of storage and retrieval requests, multi-pass simulation is used to evaluate different storage and retrieval sequences that are provided by GA. Upon GA termination, the stacker machine processes these requests according to the best sequences ever found. To make the comparisons fair and meaningful, all experiments conducted with the same initial system states and run with the same input data streams. By expanding the solution space and using an intelligent search method to take advantage of a larger solution space, MPGA greatly improves the performances of AS/RS model, compared with traditional single-rules approaches that have much smaller solution space. MPGA can run in parallel with the operation of a stacker machine; therefore, MPGA may be used as a real-time dynamic decision making tool. 92 pp. Englisch. Seller Inventory # 9783330820548
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Apply Multi-pass Simulation and Genetic Algorithm to AS/RS Dispatching
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorrnrnYan-Ling Yin, Department of Management Information System,Associate Professor of National Defense University.KlappentextrnrnThis study uses multi-pass simulation and genetic algorithm (MPGA) techniques . Seller Inventory # 509616489
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Apply Multi-pass Simulation and Genetic Algorithm to AS/RS Dispatching
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Taschenbuch. Condition: Neu. Neuware -This study uses multi-pass simulation and genetic algorithm (MPGA) techniques together to decide the best sequences for storage and retrieval requests in a block to form dual commands for a stacker machine in a unit-load/class-based automated storage and retrieval system (AS/RS). For each block of storage and retrieval requests, multi-pass simulation is used to evaluate different storage and retrieval sequences that are provided by GA. Upon GA termination, the stacker machine processes these requests according to the best sequences ever found. To make the comparisons fair and meaningful, all experiments conducted with the same initial system states and run with the same input data streams. By expanding the solution space and using an intelligent search method to take advantage of a larger solution space, MPGA greatly improves the performances of AS/RS model, compared with traditional single-rules approaches that have much smaller solution space. MPGA can run in parallel with the operation of a stacker machine; therefore, MPGA may be used as a real-time dynamic decision making tool.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. Seller Inventory # 9783330820548
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Apply Multi-pass Simulation and Genetic Algorithm to AS/RS Dispatching
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This study uses multi-pass simulation and genetic algorithm (MPGA) techniques together to decide the best sequences for storage and retrieval requests in a block to form dual commands for a stacker machine in a unit-load/class-based automated storage and retrieval system (AS/RS). For each block of storage and retrieval requests, multi-pass simulation is used to evaluate different storage and retrieval sequences that are provided by GA. Upon GA termination, the stacker machine processes these requests according to the best sequences ever found. To make the comparisons fair and meaningful, all experiments conducted with the same initial system states and run with the same input data streams. By expanding the solution space and using an intelligent search method to take advantage of a larger solution space, MPGA greatly improves the performances of AS/RS model, compared with traditional single-rules approaches that have much smaller solution space. MPGA can run in parallel with the operation of a stacker machine; therefore, MPGA may be used as a real-time dynamic decision making tool. Seller Inventory # 9783330820548
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Taschenbuch. Condition: Neu. Apply Multi-pass Simulation and Genetic Algorithm to AS/RS Dispatching | Yin Yan-Ling | Taschenbuch | Englisch | 2017 | ¿¿¿¿¿¿¿ | EAN 9783330820548 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 120564092
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