Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.
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 ...
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 ...
When working with minimal APIs in ASP.NET Core, you can define routes for the HTTP verbs using mapping methods such as MapGet, MapPut, MapPost, and MapDelete. While these methods allow you to route ...
Abstract: In this article, two types of multiagent systems (MASs) are developed for distributed bilevel constrained optimization. Within the framework of the distributed bilevel optimization modeling, ...
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 ...
Other presidents have occasionally claimed a constitutional right to bypass particular laws. But in the opening weeks of his second term, President Trump and his administration have opened the ...
1 Department of Engineering, University of Ferrara, Ferrara, Italy 2 Department of Mathematics and Computer Science, University of Ferrara, Ferrara, Italy Integration between constrained optimization ...
Businesses flourish when the people driving them are creative and innovative. So naturally, leaders look for ways to bolster their team’s creativity in the face of challenges. And what is one of the ...
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