1 citations · 2 across the 5 of their papers we have counts for
5 papers
A two-stage stochastic programming framework for oil and gas exploration well portfolio optimization under geological and economic uncertainty
Junyi Cui
Annual oil and gas exploration planning involves selecting a limited portfolio of drilling and appraisal-related projects before geological outcomes are known. This decision is aff…
TRUST-TAEA: A trustworthiness-guided two-archive evolutionary algorithm with variable-grouping sparse search for large-scale multi-objective optimization
Junyi Cui, Chao Min, Stanisław Migórski +2
Large-scale multi-objective optimization problems (LSMOPs) remain challenging due to the high-dimensional decision spaces, complex variable interactions, and limited function evalu…
The multi-objective portfolio model for oil and gas exploration drilling projects selection and its operator-enhanced NSGA-II based solution
Chao Min, Junyi Cui, Stanisław Migórski +3
Drilling investment is pivotal to operational planning in oil and gas (O\&G) exploration. Conventional deployment relies heavily on fragmented expert assessments of geological and…
A multi-source data power load forecasting method using attention mechanism-based parallel cnn-gru
Chao Min, Yijia Wang, Bo Zhang +2
Accurate power load forecasting is crucial for improving energy efficiency and ensuring power supply quality. Considering the power load forecasting problem involves not only dynam…
Calico Salmon Migration Algorithm: A novel meta-heuristic optimization algorithm
Chao Min, Junyi Cui, Liwen Zhou +2
A novel population-based optimization method is proposed in this paper, the Calico Salmon Migration Algorithm (CSMA), which is inspired by the natural behavior of calico salmon dur…