36 citations · 38 across the 4 of their papers we have counts for
4 papers
Multi-Task Surrogate-Assisted Search with Bayesian Competitive Knowledge Transfer for Expensive Optimization
Yi Lu, Xiaoming Xue, Kai Zhang +5
Expensive optimization problems (EOPs) present significant challenges for traditional evolutionary optimization due to their limited evaluation calls. Although surrogate-assisted s…
Rank-Based Learning and Local Model Based Evolutionary Algorithm for High-Dimensional Expensive Multi-Objective Problems
Guodong Chen, Jiu Jimmy Jiao, Xiaoming Xue +1
Surrogate-assisted evolutionary algorithms have been widely developed to solve complex and computationally expensive multi-objective optimization problems in recent years. However,…
Surrogate-assisted level-based learning evolutionary search for heat extraction optimization of enhanced geothermal system
Guodong Chen, Xin Luo, Chuanyin Jiang +1
An enhanced geothermal system is essential to provide sustainable and long-term geothermal energy supplies and reduce carbon emissions. Optimal well-control scheme for effective he…
Data-driven evolutionary algorithm for oil reservoir well-placement and control optimization
Guodong Chen, Xin Luo, Jimmy Jiu Jiao +1
Optimal well placement and well injection-production are crucial for the reservoir development to maximize the financial profits during the project lifetime. Meta-heuristic algorit…