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 ...

Abstract: In this article, we deal with stochastic optimization problems where the data distributions change in response to the decision variables. Traditionally, the study of optimization problems ...

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 ...

Microeconomics and macroeconomics are two distinct branches of economics. Microeconomics focuses on individuals and groups, including companies, while macroeconomics looks at the behavior of national ...

Tsukuba, Japan—Distributed constraint optimization problems are crucial for modeling cooperative-multiagent systems. Asynchronous Distributed OPTimization (ADOPT) is a well-known algorithm for solving ...

Abstract: Expensive constrained multi-objective optimization problems (ECMOPs) present a significant challenge to surrogate-assisted evolutionary algorithms (SAEAs) in effectively balancing ...