This paper addresses carrier aircraft landing scheduling considering bolting and aerial refueling. It defines fuel and wake ...

By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...

Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

Abstract: The variational quantum eigensolver (VQE) is an algorithm for finding the ground states of a given Hamiltonian. Its application to binary-formulated combinatorial optimization (CO) has been ...

Want your business to show up in Google’s AI-driven results? The same principles that help you rank in Google Search still matter – but AI introduces new dimensions of context, reputation, and ...

古典最適化器を用いることなく、任意の次数のバイナリ組合せ最適化問題を解く量子アルゴリズム SamBa-GQWの提案。グラフとして表現される解空間における連続時間量子ウォークをベースとし ...

Introduction: Red yeast rice (RYR) is produced through solid-state fermentation by Monascus genus. Its functional component, Monacolin K (MK), has the same structure as lovastatin and can effectively ...

Introduction: Container relocation in port yards represents a canonical NP-hard problem, characterized by high-dimensional nonlinear constraints and stringent real-time decision-making requirements.

MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.