This repository features custom implementations of three genetic algorithms for multi-objective optimization: NSGA-II, SPEA2, and Simple GA. 🧬 Developed from scratch without libraries, these modules ...

Simple is a radically more scalable alternative to Bayesian Optimization. Like Bayesian Optimization, it is highly sample-efficient, converging to the global optimum in as few samples as possible.

A simple and efficient algorithm is presented for estimating the three-dimensional (3-D) location (two dimensional direction-of-arrival (DOA) and range) of a single source with uniform cross array ...