Tech Xplore

New twist on generative AI is quietly reshaping who wins when uncertainty hits hardest

Generative AI is best known for creating images and text. Now, it is helping industries make better planning decisions.
IEEE

A Novel Evolutionary Bayesian Optimization Algorithm Based on Decomposition for Expensive Constrained Multiobjective Optimization Problems

Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...
IEEE

A Kriging-Assisted Evolutionary Algorithm With Dual Perspectives and Dual Indicators for Expensive Robust Multiobjective Optimization

Abstract: Balancing optimality and robustness is the key to solving expensive robust multiobjective optimization problems (ExRMOPs) by evolutionary algorithms. However, existing studies usually design ...
Scientific Research Publishing

Deb, K. and Jain, H. (2014) An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems with Box ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Search Engine Land

Google VP: SEO and AI search optimization have ‘a lot of overlap’

Want your business to show up in Google’s AI-driven results? The same principles that help you rank in Google Search still matter – but AI introduces new dimensions of context, reputation, and ...