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math.OC2026
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…
math.OC2026
TRUST-TAEA: A trustworthiness-guided two-archive evolutionary algorithm with variable-grouping sparse search for large-scale multi-objective optimization
Junyi Cui, Chao Min, StanisÅaw 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…
math.OC2026
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, StanisÅaw 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…