Evolution strategies form a class of evolutionary optimization procedures the behavior of
which is comparatively well understood theoretically, at least for simple cases. An approach …

Noisy optimization is currently receiving increasing popularity for its widespread applications
in engineering optimization problems, where the objective functions are often found to be …

Evolutionary algorithms often have to solve optimization problems in the presence of a wide
range of uncertainties. Generally, uncertainties in evolutionary computation can be divided …

" It is well known that" building blocks", whether they be the atoms of chemistry, the words of
a language, or the modules of a computer, play a key role in our understanding of the world …

This paper is devoted to the effects of fitness noise in evolutionary algorithms (EAs). After a
short introduction to the history of this research field, the performance of genetic algorithms …

In addition to satisfying several competing objectives, many real-world applications are also
characterized by a certain degree of noise, manifesting itself in the form of signal distortion …

Noise is a common factor in most real-world optimization problems. Sources of noise can
include physical measurement limitations, stochastic simulation models, incomplete …

This thesis is about the tuning and simplification of black-box (direct-search, derivative-free)
optimization methods, which by definition do not use gradient information to guide their …

Many real-world problems involve the simultaneous optimization of several competing
objectives and constraints that are difficult, if not impossible, to solve without the aid of …

Publisher Summary Directed evolution uses a combination of powerful search techniques to
generate proteins with the improved properties. The chapter focuses on controlling the …