Tan Liu, Qinyun Yuan, Lina Wang, Yonggang Wang, Nannan Zhang, Multi-objective optimization for oil-gas production process based on compensation model of comprehensive energy consumption using improved ...

At the industry level, the research suggests that AI-enabled decision support could help firms quantify trade-offs more ...

Considering the undesirable characteristics of the balance shaft, such as cost, weight, friction, and noise, as well as dynamically inappropriate mass unbalancing method, this research proposes ...

Description: Theory and applications of multiple objective optimization and multiple criteria decision making. Existence and specification of single and multiple attributive value and utility ...

One such market-based system is in Chile, where high competition between sectoral demands has led to a relatively active, laissez-faire water market. We provide an outline of how multi-objective ...

Multi-Objective Particle Swarm Optimization (MOPSO) and the Multi-Objective Covariance Matrix Adaptation Evolution Strategy (MO-CMA-ES) apply swarm intelligence and probabilistic modeling, ...

He has published several papers in multiple objective optimization, large-scale optimization, systems methodology, and applications of decision theory, optimization and information technology to ...