Real-World Applications of Evolutionary Computing Munzinger Str. 9 single-output (SISO) methodology from random

single-output (SISO) methodology from random noise/signal theory under sinusoidal input

STRATEGISCHE ANBIETERGRUPPEN DER WETTBEWERBER

Björn Bergwald

Veranstaltung: 2

Real-World Applications of Evolutionary Computing Munzinger Str. 9 single-output (SISO) methodology from randomThe increasingly active eld of Evolutionary Computation (EC) provides val ble tools, inspired by the theory of natural selection and genetic inheritance, to problem solving, machine learning, and optimization in many real world app cations. Despite some early intuitions about EC, that can be dated back to the vention of computers, and a better formal de nition of EC, made in the 1960s, the quest for real world applications of EC only began in the late