Abstract: Real world objective functions often produce two types of uncertain output: noise and imprecision. While there is a distinct difference between both types, most optimization algorithms treat ...

Abstract: For more than a decade, the efficiency and effectiveness of MOEA/D (Multi-Objective Evolutionary Algorithm based on Decomposition) when solving complicated problems has been shown. Due to ...

This study presents a comprehensive multi-objective optimization framework for sustainable urban flyover design, integrating Radial Basis Function surrogate modeling with advanced optimization ...

Against the backdrop of global change—characterized by climate warming, shifting precipitation patterns, and intensified anthropogenic disturbances—the ...

At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...

XMPro Multi-Agent Generative Systems (MAGS) is the centrally-planned, physics-grounded operating layer for upstream, ...

Faced with restrictions on advanced technologies, Huawei has been forced to rethink how to raise performance. So, in a very ...

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...

Fintech platform QuantRate today officially announced the launch of its free AI Trading Bot , a system that supports ...

Discover how Yash Gupta's research on responsible AI is revolutionizing high-stakes systems, ensuring reliability, ...

Agentic AI will not arrive as a codified, verticalized system. It will show up as thousands of small, specialized digital ...