Over the last 10 years, breakthroughs in understanding the genetic instructions passed from parent to offspring have put ...

A small region of the brain, known as the ventral tegmental area (VTA), plays a key role in how we process rewards. It ...

Abstract: When dealing with expensive multiobjective optimization problems, majority of existing surrogate-assisted evolutionary algorithms (SAEAs) generate solutions in decision space and screen ...

Abstract: We propose a decomposition-based interactive evolutionary algorithm (EA) for multiple objective optimization. During an evolutionary search, a decision maker (DM) is asked to compare ...

The fully-open successor to Google DeepMind’s AlphaEvolve for automated algorithm discovery. First released 📅 Nov 2024 • MIT License • 100 % reproducible. LLaMEA couples large-language-model ...

The system operates within an evolutionary framework, learning from past attempts and iteratively refining the most promising concepts, allowing it to develop complex algorithms by evolving entire ...

OpenAlpha_Evolve is an open-source Python framework inspired by the groundbreaking research on autonomous coding agents like DeepMind's AlphaEvolve.