Abstract: Finding the time-optimal parameterization of a given path subject to kinodynamic constraints is an essential component in many robotic theories and applications. The objective of this paper ...
turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...
Making a class schedule is one of those NP hard problems. The problem can be solved using a heuristic search algorithm to find the optimal solution, but it only works for simple cases. For more ...
Despite significant changes to the organic search landscape throughout the year, the speed and efficiency of web pages have remained paramount. Users continue to demand quick and seamless online ...
1 Transportation Engineering College, Dalian Maritime University, Dalian, China. 2 School of Maritime Economics and Management, Dalian Maritime University, Dalian, China. With the development of the ...
In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.
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