Neither Sakana AI nor its external AI service providers will use customer data or inputs for model training or fine-tuning ...

Researchers have mapped a previously unseen drug-binding pocket on PKMYT1, a kinase tied to cancer cell division, using X-ray ...

In this work, we address a question that has attracted intense interest in recent years: whether machine learning-assisted algorithms can genuinely outperform classical approaches in challenging ...

Chemical Reaction Optimization (CRO) is a nature-inspired metaheuristic that mimics the interaction and transformation of molecules in chemical processes to address combinatorial optimisation ...

Abstract: This paper defines a new combinatorial optimization problem, namely General Combinatorial Optimization Problem (GCOP), whose decision variables are a set of parametric algorithmic components ...

A Korean researcher who solved the “Moving Sofa Problem,” a mathematical challenge that had puzzled mathematicians for nearly 60 years, was selected as one of the top 10 mathematical innovations of ...

This is the official implementation of our ICLR 2025 paper "UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP". Fig 1. The 3-step workflow of the UniCO ...

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a study led by ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...

Abstract: Recently, evolutionary multitasking (EMT) has been proposed in the field of evolutionary computation as a new search paradigm, for solving multiple optimization tasks simultaneously. By ...

Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial ...