Comparison of Approaches for Irrigation Scheduling Using AquaCrop and NSGA-III Models under Climate Uncertainty
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چکیده
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Advances in Robust Optimization Approaches for Scheduling under Uncertainty
The problem of scheduling under uncertainty is addressed. We propose a novel robust optimization methodology, which when applied to Mixed-Integer Linear Programming (MILP) problems produces “robust” solutions that are, in a sense, immune against uncertainty. The robust optimization approach is applied to the scheduling under uncertainty problem. Based on a novel and effective continuous-time sh...
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ژورنال
عنوان ژورنال: Sustainability
سال: 2020
ISSN: 2071-1050
DOI: 10.3390/su12187694