Google's next-generation Tensor processing hardware will also benefit from AlphaEvolve. DeepMind reports that the AI created ...

Abstract: This article designs a self-triggered adaptive dynamic programming (STADP) algorithm combined with the model predictive control (MPC) mechanism to address the approximate optimal control of ...

3 In the commonly used genome sequencing pipelines, dynamic programming (DP) algorithms are widely used, including read alignment and variant calling in reference-guided alignment, layout and ...

The adaptive dynamic programming (ADP) algorithm is used for solving the Hamilton-Jacobi-Bellman (HJB) equation. Based on the proposed updating law, the neural network is trained to approximate the ...

This repository contains the implementation of an optimized university timetabling system using Integer Linear Programming (ILP ... approaches by combining ILP with heuristic/metaheuristic algorithms ...

This aligns with our approach in Dynamic Classification Using the Adaptive Competitive Algorithm for Breast Cancer Detection, where we explore adaptive techniques to optimize classification ...

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CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained ...