Abstract: Current approaches to resilience for highly distributed, heterogeneous, large-scale scientific workflows are limited. Most existing workflow and resource management systems have a single ...
Abstract: Learning differential evolution (DE) algorithms are widely adopted to address flexible job-shop scheduling problems (FJSPs) because of the optimization ability. However, traditional learning ...
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