Over the past few years, a variety of surrogate-assisted evolutionary algorithms have emerged, aiming to tackle expensive multi-objective optimization problems. On the other hand, as the problem's ...

Recursion: Solving a problem by breaking it down into smaller subproblems. Dynamic Programming: Solving optimization problems by storing solutions to subproblems. Optimizing Brute-Force Approaches in ...

AlphaEvolve improved the way matrix multiplications are split into subproblems, a core operation in training AI models like Gemini. That optimisation sped up the process by 23%, reducing Gemini ...

Mastering decomposition—the skill of breaking down complexity into manageable chunks—can help if you're easily overwhelmed by anxiety, procrastinate, have difficulty concentrating due to ...

Google DeepMind's AlphaGeometry2 (AG2) AI model solved 84% of the geometry problems from the last 25 years of International Math Olympiads (IMO), outperforming the average human gold-medalist ...

By partitioning the problem into more manageable subproblems and iteratively solving them in an alternating fashion, ADMM facilitates the computation of unit variables while maintaining consensus ...