Abstract: In this paper, a deterministic global optimization algorithm based on interval analysis is investigated, and a parallel interval computing model based on a branch and deletion strategy …

A canonical sequential (B&B) IA global optimization algorithm, SIAGO, iterates over a prioritized list of boxes, representing current candidate subregions (of the initial search space) for …

Abstract In this paper, we propose a decentralized parallel computation model for global optimiza-tion using interval analysis. The model is adaptive to any number of processors and the …

Aug 1, 2022 · In this paper, a parallel Bayesian global optimization (PBGO) method is proposed for estimating the response bounds of a computational model in the presence of interval …

We have developed a depth-first search method to reliably obtain the global minimum of an arbitrary continuously differentiable function in the one-dimensional case.

In this paper, we investigate the parallel reliable computational model and propose a parallel interval evolutionary algorithm that integrates interval arithmetic and Mind Evolutionary …

We present a parallel depth-first algorithm along with a potential load balancing technique, and acceleration devices that provides a significant reduction in run time compared with a popular …

In this paper, a deterministic global optimization algorithm based on interval analysis is investigated, and a parallel interval computing model based on a branch and deletion strategy …

One of the main reasons is the new technology of parallel computers which offer computational power capable of solving global optimization problems in reasonable time. The method studied …

This work evaluates a parallel version of AMIGO (Advanced Multidimensional Interval Analysis Global Optimization) algorithm. AMIGO makes an efficient use of all the available information …