ABSTRACT: This note examines the utility of pseudorandom variables (prv) in Global Search and Optimization (GSO) using Central Force Optimization (CFO) as an example. Most GSO metaheuristics are ...

Abstract: Bayesian Optimization (BO) is a widely used method for optimizing expensive black-box functions, but scaling it to high-dimensional optimization is a challenging task. As the problem scales ...

Online performance marketing agency Marketing Signals announces the launch of its AI Search Optimisation service, a brand new offering that’s designed to help brands dominate the evolving AI-powered ...

The company is reportedly working on a deal that might kill two birds with one stone. I hate my Dell laptop. If I close the lid, the laptop will “suspend,” but not really. Putting it in a bag in that ...

The Tabu Search heuristic can be used to optimise the WET (waste to energy technology). Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the ...

Add a description, image, and links to the constraint-optimisation-problem topic page so that developers can more easily learn about it.

Alibaba claims its new ZeroSearch method cuts AI training costs by nearly 90 percent. ZeroSearch lets models simulate search results internally without live engine queries. The breakthrough could make ...

Share of search (SoS) is the fancy new kid on the block in PR measurement. It’s travelled over from the world of SEO, and is being trialed by PR practitioners to measure how earned media is impacting ...

Artificial intelligence is transforming the way people search for and consume news. With nearly one in four Americans now using generative AI chatbots instead of traditional search engines, the way ...