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Hybrid Genetic Algorithm for Cloud Computing Applications

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms
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An approach for cloud resource scheduling based on Parallel Genetic Algorithm
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The Characteristics of Cloud Computing
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An analysis of various job scheduling strategies in grid computing
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Serial configuration of genetic algorithm and particle swarm optimization to increase the convergence speed and accuracy
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A Scheduling Strategy on Load Balancing of Virtual Machine Resources in Cloud Computing Environment
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On the schedulability conditions on partial time slots
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Xen and the art of virtualization
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Xen and the art of virtualization
inferredcites →https://doi.org/10.1162/106365601750190406openalex-snapshot
Self-Adaptive Genetic Algorithms with Simulated Binary Crossover
inferredcites →https://doi.org/10.7551/mitpress/1090.001.0001openalex-snapshot
Adaptation in Natural and Artificial Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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