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02410nam a22003615i 4500 |
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978-3-540-69277-5 |
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20191022043032.0 |
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cr nn 008mamaa |
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100301s2008 gw | s |||| 0|eng d |
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|a 9783540692775
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|a 10.1007/978-3-540-69277-5
|2 doi
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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|a Metaheuristics for Scheduling in Distributed Computing Environments
|c edited by Fatos Xhafa, Ajith Abraham.
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| 250 |
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|a 1st ed. 2008.
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| 260 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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| 300 |
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|a XV, 364 p.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Studies in Computational Intelligence,
|v 146
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|a Meta-heuristics for Grid Scheduling Problems -- Optimizing Routing and Backlogs for Job Flows in a Distributed Computing Environment -- Robust Allocation and Scheduling Heuristics for Dynamic, Distributed Real-Time Systems -- Supercomputer Scheduling with Combined Evolutionary Techniques -- Adapting Iterative-Improvement Heuristics for Scheduling File-Sharing Tasks on Heterogeneous Platforms -- Advanced Job Scheduler Based on Markov Availability Model and Resource Selection in Desktop Grid Computing Environment -- Workflow Scheduling Algorithms for Grid Computing -- Decentralized Grid Scheduling Using Genetic Algorithms -- Nature Inspired Meta-heuristics for Grid Scheduling: Single and Multi-objective Optimization Approaches -- Efficient Batch Job Scheduling in Grids Using Cellular Memetic Algorithms -- P2P B&B and GA for the Flow-Shop Scheduling Problem -- Peer-to-Peer Neighbor Selection Using Single and Multi-objective Population-Based Meta-heuristics -- An Adaptive Co-ordinate Based Scheduling Mechanism for Grid Resource Management with Resource Availabilities.
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|a Applied mathematics.
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|a Engineering mathematics.
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|a Manufactures.
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|a Artificial intelligence.
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|a Mathematical and Computational Engineering.
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|a Manufacturing, Machines, Tools, Processes.
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|a Artificial Intelligence.
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| 700 |
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|a Xhafa, Fatos.
|e editor.
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| 700 |
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|a Abraham, Ajith.
|e editor.
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| 710 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer eBooks
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| 856 |
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|u https://doi.org/10.1007/978-3-540-69277-5
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