KEYNOTE: Trust in Optimization Algorithms – The End User Perspective

Tobias Rodemann, Honda Research Institute Europe, GERMANY. ABSTRACT: Evolutionary Algorithms have a potentially wide-spread usage. They can deal with various types of design parameters, constraints and objectives; non-linear, discontinuous, noisy fitness landscapes and many, even conflicting objectives can be handled. There are numerous open-source software packages for quickly applying EA methods on various problems. In practice, however, EAs are not used as frequently as we would hope.

Tobias Rodemann, Honda Research Institute Europe, GERMANY. ABSTRACT: Evolutionary Algorithms have a potentially wide-spread usage. They can deal with various types of design parameters, constraints and objectives; non-linear, discontinuous, noisy fitness landscapes and many, even conflicting objectives can be handled. There are numerous open-source software packages for quickly applying EA methods on various problems. In practice, however, EAs are not used as frequently as we would hope.

IEEE-Affiliated Group Name: CIS

URL: https://resourcecenter.cis.ieee.org/conferences/wcci-2024/ciswcci2024conf0290