Towards Evolutionary Optimization Using the Ising Model

Simon Klüttermann

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arXiv · 2511.15377

Towards Evolutionary Optimization Using the Ising Model

Simon Klüttermann

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Abstract

In this paper, we study the problem of finding the global minima of a given function. Specifically, we consider complicated functions with numerous local minima, as is often the case for real-world data mining losses. We do so by applying a model from theoretical physics to create an Ising model-based evolutionary optimization algorithm. Our algorithm creates stable regions of local optima and a high potential for improvement between these regions. This enables the accurate identification of global minima, surpassing comparable methods, and has promising applications to ensembles.

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Simon Klüttermann. 2025-11-19. Towards Evolutionary Optimization Using the Ising Model. https://arxiv.org/abs/2511.15377

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