Variable Mesh Optimization for Continuous Optimization and Multimodal Problems

The three-volume set LNCS 14476-14478 constitutes the post conference proceedings of the 4th International Conference on Numerical Computations: Theory and Algorithms, NUMTA 2023, held in Pizzo Calabro, Italy, during June 14–20, 2023. The 45 full papers presented in this book together with 60 short papers were carefully reviewed and selected from 170 submissions. The papers focus on ...

Added: November 23, 2025

Black-Box Optimization with Local Generative Surrogates

Belavin V., Ustyuzhanin A., Широбоков С. К. et al., Proceedings of Machine Learning Research 2020 P. 1–9

We propose a novel method for gradient-based optimization of black-box simulators using differentiable local surrogate models. In fields such as physics and engineering, many processes are modeled with non-differentiable simulators with intractable likelihoods. Optimization of these forward models is particularly challenging, especially when the simulator is stochastic. To address such cases, we introduce the use ...

Added: October 31, 2019

The Algorithm of Continuous Optimization Based on the Modified Cellular Automaton

Evsyutin O., Шелупанов А. А., Мещеряков Р. В. et al., Symmetry 2016 Vol. 8 No. 9 P. 1–18

This article is devoted to the application of the cellular automata mathematical apparatus to the problem of continuous optimization. The cellular automaton with an objective function is introduced as a new modification of the classic cellular automaton. The algorithm of continuous optimization, which is based on dynamics of the cellular automaton having the property of ...

Added: September 5, 2019