Applied Evolutionary Algorithms for Engineers using Python

This book is written for students, scientists and engineers who need to apply evolutionary algorithms to practical optimization problems. The presentation of the theoretical background is complemented with didactical Python implementations of evolutionary algorithms that researchers have recently applied to complex optimization problems.

Auteur

Leonardo Azevedo Scardua received the B.S.E.E. degree in 1989 and the M.Sc. degree in 1996, both from the Federal University of Espírito Santo, Brazil, and the D.Sc. degree from the University of São Paulo Brazil, in 2015. He has extensive engineering experience with software systems for mission-critical applications, mainly in the railway industry. He is now with the Control Engineering Department at the Federal Institute of Technology of Espírito Santo, Brazil. His current research interests include evolutionary computation applied to control of dynamic systems with continuous action spaces and nonlinear state estimation.