IEEE

Collaborative and Distributed Bayesian Optimization via Consensus

Abstract: Optimal design is a critical yet challenging task within many applications. This challenge arises from the need for extensive trial and error, often done through simulations or running field ...
IEEE

Constrained Evolutionary Bayesian Optimization for Expensive Constrained Optimization Problems With Inequality Constraints

Abstract: This article proposes a constrained evolutionary Bayesian optimization (CEBO) algorithm to cope with expensive constrained optimization problems with inequality constraints. The uniqueness ...
chromatographyonline

Boosting the Separation Power of LC×LC (LCGC International Nov/Dec 2025)

LC×LC and GC×GC improve separation in complex sample analysis by using different stationary phases, enhancing resolution and addressing ion suppression issues. Innovations like multi-2D-LC×LC and ...
marktechpost

A Complete Workflow for Automated Prompt Optimization Using Gemini Flash, Few-Shot Selection, and Evolutionary Instruction Search

In this tutorial, we shift from traditional prompt crafting to a more systematic, programmable approach by treating prompts as tunable parameters rather than static text. Instead of guessing which ...