Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...
In a new review, researchers from the Xinjiang Institute of Ecology and Geography (XIEF) of the Chinese Academy of Sciences ...
1 Department of Quantitative Methods, University of Sousse, Sousse, Tunisia 2 Department of Quantitative Methods, College of Business, King Faisal University, Al-Ahsa, Saudi Arabia Introduction: ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Abstract: Multi-party multi-objective optimization, which aims to find a solution set that satisfies multiple decision makers (DMs) as much as possible, has attracted the attention of researchers ...
Abstract: This paper comprehensively investigates a multi-objective optimization method for deep-sea permanent magnet synchronous motors (DSPMSMs). In contrast to conventional motors, DSPMSMs exhibit ...
Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...
Generative engine optimization (GEO) has quickly become one of the most important – and debated – topics in search. Some dismiss it as little more than SEO rebranded, but the reality is that GEO ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results