Abstract: Dynamic constrained multiobjective optimization problems (DCMOPs) require quickly tracking Pareto optimal solution sets satisfying dynamic constraints. Existing dynamic constrained ...

Edge AI Technologies As artificial intelligence continues to evolve, its applications are becoming increasingly transformative across various sectors. In a recent report from March 30, 2026, several ...

The future of AI is here. Discover the world’s first self-evolving, open-weight AI model that can independently upgrade ...

AI-Evolved Adaptive Robot Is Nearly Impossible to Destroy Robots have long been designed around a simple assumption: their bodies and ...

We're just scratching the surface of what the innovative collaboration between human astronomers and AI can unlock.

Gartner predicted traditional search volume will drop 25% this year as users shift to AI-powered answer engines. Google’s AI Overviews now reach more than 2 billion monthly users, ChatGPT serves 800 ...

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 ...

A web/desktop App which takes 3D files of Industrial metal bars and a stock of mother bars. After optimizing offcuts, it generates the best programs for an industrial saw.

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 ...

Tourism development in emerging destinations requires balancing economic benefits with ecological sustainability. In this study, we investigate the case of multi-attraction tourism planning in Qujing ...