Derivative-free tree optimization for complex systems

arXiv:2404.04062v1 Announce Type: new
Abstract: A tremendous range of design tasks in materials, physics, and biology can be formulated as finding the optimum of an objective function depending on many parameters without knowing its closed-form expression or the derivative. Traditional derivative-free optimization techniques often rely on strong assumptions about objective functions, thereby failing at optimizing non-convex systems beyond 100 dimensions. Here, we present a tree search method for derivative-free optimization that enables accelerated optimal design of high-dimensional complex systems. Specifically, …

abstract arxiv assumptions biology complex systems cs.lg design form free function functions materials math.oc optimization optimum parameters physics systems tasks tree type