To speed up low-carbon energy transition, MIT scientists have created a new digital twin system called MFRNet for industrial biomass combustion ...

Decentralized protocols allow practically limitless access across multiple platforms. This opens a series of problems both at the level of individual users and industry-wide. The main problem is how ...

February 17, 2026) - QScreen AI Inc (CSE: QAI) (OTC Pink: PMEDF) (FSE: 3QP), an innovator fusing Quantum-AI technologies to transform health screening and employee wellness, today announced the filing ...

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: 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: Evolutionary Algorithms (EAs) are effective for solving Multi-Modal Multi-Objective Optimization Problems which optimal solutions subsets distributed regularly in the decision space.

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 ...