Abstract: This paper proposes a novel orthogonal simulated annealing (OSA) algorithm for solving intractable large-scale engineering problems and its application to designing mixed H/sub 2//H/sub /spl ...

Abstract: We propose a novel orthogonal simulated annealing algorithm (OSA) for optimization of electromagnetic problems. The algorithm performs best when it employs an intelligent generation ...

This Python script defines a generic simulated_annealing function (inspired by GeeksforGeeks and Brownlee’s tutorials) and then applies it to a Ludo-style optimization: tokens racing home on a linear ...

If QuantumAnnealing.jl proves useful in your work, please consider citing it using the following BibTeX citation for the pre-print, available here: @misc{morrell2024quantumannealing, ...

To achieve this goal, we turn to an importance-sampling algorithm, coined well-tempered metadynamics-extended adaptive biasing force (WTM-eABF), aimed at mapping rugged free-energy landscapes, ...

This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily ...