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: Complex autonomous dynamical systems require sophisticated optimization methods that encompass environment awareness, path planning, and decision-making. swarm intelligence algorithms, ...
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
On a recent transatlantic flight, Mark Ruddock, an entrepreneur in residence at GALLOS Technologies, decided to put his team of AI agents to work. He was 34,000 feet over the Atlantic with a ...
School of Mechanical Engineering, Shandong Huayu University of Technology, Dezhou, China Introduction: Regenerative braking control technology has been widely implemented in electric vehicles (EVs) to ...
New high-temperature stable dispersed particle gel for enhanced profile control in CCUS applications
(a) schematic showing the gelation process; (b) skeletal formulae of the chemicals used; (c) structure of PAAm/SA-Gel; (d) digital image of the PAAm/SA-Gel sample before the crosslinking of SA chains; ...
Abstract: Optimization problems aim to identify the best solution from a wide range of possibilities. The Particle Swarm Optimization (PSO) algorithm is widely recognized for its simplicity and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results