EPC Group’s six-layer AI architecture—fresh off perfect G2 Spring 2026 scores in Business Intelligence Consulting—turns ...

On stage, at NVIDIA GTC 2026, Marketeam.ai unveiled RL-KPI (Reinforcement Learning with Key Performance Indicators), a groundbreaking model training methodology that represents one of the first ...

Messenger RNA (mRNA) therapeutics have moved from a promising idea to clinical reality, accelerating vaccine development and opening new paths ...

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

Abstract: In scenarios where multiple decision-makers operate within a common decision space, each focusing on their own multi-objective optimization problem (e.g., bargaining games), the problem can ...

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 ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Abstract: Multi-party multi-objective optimization, which aims to find a solution set that satisfies multiple decision makers (DMs) as much as possible, has attracted the attention of researchers ...

Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...