Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives.

Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives. By emulating natural ...

The team's findings further revealed that, while multi-objective evolutionary algorithms hold significant potential, they still struggle with low search efficiency.

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 ...

Aissa Laouissi, Hammoudi Abderazek, Mourad Nouioua, M. Sait Sadiq, Grasshopper Optimization Algorithm for Multi-objective Optimization of Multi-pass Face Milling of Polyamide (PA6), SAE International ...

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 ...

The Multi-Query Optimization (MQO) problem is a class of data-intensive problems that are NP-hard, and it has applications in many fields such as database query optimization, machine learning ...

T-VOS has been integrated into the Marine AI technology platform developed for DARPA's NOMARS programme. NOMARS is being delivered by Serco in the shape of the demonstrator vessel USX-1 Defiant ...