The research finds that AI is already revolutionizing energy storage at multiple levels, starting with the performance of ...

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 ...

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 ...

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

Using the approach known as multi-objective optimization, Yurchisin says, businesses can balance two or more goals, crafting a model that’s flexible enough to be updated quickly. That’s an especially ...

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

Considering the multi-objective trade-off and synergy of groundwater level decline, dietary energy, economic benefits, vitamin C and feed output, they put forward the optimization solutions for ...

“The FP models effectively manage conflicting objectives involving critical resources like irrigation water, complementing the land allocation optimization achieved by the MINLP models,” said ...