A hybrid of probabilistic roadmaps and bidirectional A* search produced shorter paths and faster planning times than Dijkstra ...

A new review maps the evolution of cloud task scheduling algorithms, from classical heuristics to nature-inspired ...

This research introduces quantum graph networks for max-clique detection, overcoming trainability issues with compositional ...

QCentroid launched "Missions," a new platform integrated with NVIDIA CUDA-Q, to evaluate the best solutions for enterprise ...

Teacher, it says this on the internet! Everyone is saying so!How do you respond when a student shows you their smartphone ...

Researchers at Nanyang Technological University, Singapore (NTU Singapore) have developed an artificial intelligence (AI) framework that automates the creation of complex decision-making software, ...

PRESS RELEASE — IonQ (NYSE: IONQ), the world’s leading full-stack quantum platform and foundry, today published the first complete, end-to-end fault-tolerant resource estimate for running Shor’s ...

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Abstract — We posit that we can generate more robust and performant heuristics if we augment approaches using LLMs for heuristic design with tools that explain why heuristics underperform and ...

Abstract: Scheduling problems in distributed computing (such as Cloud or edge computing) usually belong to multi-objective optimization problems (MOPs). Meta-heuristic algorithm (MHA) is an effective ...