Numerical And Evolutionary Optimization 2021

This Reprint Was Established After The 9th International Workshop On Numerical And Evolutionary Optimization (neo), Representing A Collection Of Papers On The Intersection Of The Two Research Areas Covered At This Workshop: Numerical Optimization And Evolutionary Search Techniques. While Focusing On The Design Of Fast And Reliable Methods Lying Across These Two Paradigms, The Resulting Techniques Are Strongly Applicable To A Broad Class Of Real-world Problems, Such As Pattern Recognition, Routing, Energy, Lines Of Production, Prediction, And Modeling, Among Others. This Volume Is Intended To Serve As A Useful Reference For Mathematicians, Engineers, And Computer Scientists To Explore Current Issues And Solutions Emerging From These Mathematical And Computational Methods And Their Applications.