AI RESEARCH
Direct From Darwin: Deriving Advanced Optimizers From Evolutionary First Principles
arXiv CS.LG
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ArXi:2605.05284v1 Announce Type: cross Evolutionary computation has long promised to deliver both high-performance optimization tools as well as rigorous scientific simulations of Darwinian evolution. However, modern algorithms frequently abandon evolutionary fidelity for physics-inspired heuristics or superficial biological metaphors. This paper derives a suite of advanced gradient-based optimization algorithms directly from evolutionary first principles. We