Abstract: This paper presents a comprehensive trajectory and flow optimization framework in multi-part, multi-location pick-and-place operations using Nonlinear Model Predictive Control (NLMPC). The ...
Introduction: The long charging cycle, limited energy storage system, and short range of traditional batteries have constrained the further development of electric vehicles. Methods: Given this, the ...
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' ...
Multi-vehicle cooperative lane-change motion planning (MVMP) code for the paper “Balancing Computation Speed and Quality: A Decentralized Motion Planning Method for Cooperative Lane Changes of ...
This workshop on Engineering Design Optimization using MATLAB® and Python™ addresses the shape optimization of mechanical components for strength. Python ...
In this paper, we present an innovative approach to accurately extract the device parameters of a semiconductor p-n junction diode using a Multi-Objective Quantum-Inspired Particle Swarm Optimization ...
Abstract: With the rapid development of drone technology, the application domains for unmanned aerial vehicles (UAVs) have expanded significantly. In practical applications, effective trajectory ...
This summer’s record-breaking temperatures may stress out the thermostats of AEP-PSO customers, but the utility’s peak usage has fallen short of historic highs, a company spokesman said Tuesday.
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