An Approach to Chance Constrained Problems Based on Huge Data Sets Using Weighted Stratified Sampling and Adaptive Differential Evolution
In this paper, a new approach to solve Chance Constrained Problems (CCPs) using huge data sets is proposed. Specifically, instead of the conventional mathematical model, a huge data set is used to formulate CCP. This is because such a large data set is available nowadays due to advanced information...
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Format: | Article |
Language: | English |
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MDPI AG
2020-04-01
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Series: | Computers |
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Online Access: | https://www.mdpi.com/2073-431X/9/2/32 |