IEEE

Distributed Constrained Continuous-Time Optimization With Input and Interaction Constraints

Abstract: As is well known, it is challenging to address the convergence for distributed constrained optimization problem, in particular when nonconvex constraints, nonuniform step-sizes (nonuniform ...
Supply Chain Management Review

The special demand optimization team

My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...
USA Today

SEO vs GEO vs AEO: Search Optimization Types, Differences & Examples

Search optimization now requires combining traditional SEO with AI-focused GEO and answer-driven AEO strategies AI search usage continues to grow, with 10% of US consumers currently using generative ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
IEEE

Distributed Convex Optimization Over Nonlinear Networks Under Set Constraints

Abstract: This article is devoted to the distributed convex optimization problem for a class of nonlinear multiagent systems under set constraints. The optimization objective function is composed of ...
Scientific Research Publishing

Physical-Informed Neural Networks (PINNs) for Solving Shape Optimization Problems ()

1 School of Mathematics and Statistics, Fuzhou University, Fuzhou, China. 2 College of Computer and Data Science, Fuzhou University, Fuzhou, China. In this paper, we use Physics-Informed Neural ...