Multi-objective optimization quickly presents an automated, big-picture view of possible choices, enabling users to optimize the supply chain with a broad view of business goals.

In this paper, we aim to find ecient solutions of a multi-objective optimization problem over a linear matrix inequality (LMI in short), in which the objective functions are SOS-convex polynomials. We ...

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 ...

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

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 ...

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 ...

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 ...