… our self-adaptive DE has even more parameters, but please note that we have used fixed
values for , , , and for all benchmark functions in our selfadaptive … best fitness curves for the self-…

… not address issues like adapting DE to complex optimization environments involving multiple
and constrained objective functions, noise and uncertainty in the fitness landscape, very …

… Through millions of years, every species had to adapt their physical structures to fit to the …
In [S216], Al-Anzi and Allahverdi proposed a selfadaptive differential evolution heuristic for two-…

… of evolution” is used to conduct the selfadaptation of control parameters. The control …
model of differential evolution with spherical fitness functions,” in Proc. IEEE Congr. Evol. …

1 Differential Evolution Page 1 1 Differential Evolution In this chapter I explain what differential
evolution is. We speak about its history and development as well as the purposes it serves…

… selfadaptation is applied to tune the control parameters F and Cr. Liu and Lampinen introduced
fuzzy adaptive differential evolution (… that corresponds to the best fitness (eg, the lowest …

… feedback from the search process such as fitness values to guide the updating of parameters.
… adapting the control parameters or , Teo proposed differential evolution with self adapting …

… which integrates adaptive differential evolution (DE) with new multi-population-based mutation
… The two population were combined to evaluate the fitness value for each design variable. …

… Liu and Lampinen proposed a fuzzy adaptive differential evolution (FADE) which uses fuzzy
… The maximum number of fitness evaluations that we allowed for each algorithm to minimize …

… , the vector with the higher fitness value is chosen. There are other variants based on different …
Zumer, “Selfadapting control parameters in differential evolution: A comparative study on …