Effectiveness of evolutionary GA search (mutations only) with ( μ , λ ) selection, μ / λ = 0.4, 4 domains, 6+4 defined positions out of 26, W = 220 at varying mutation rate and population size as a function of mutation rate and population size.

In inset the area of the robust algorithm work with low sensitivity to mutation rate is presented at three values of population size: P = 100, 600, and 2000. Within this area populations of low size are preferable. The mean number of fitness evaluations are computed over 100 runs per test. Standard deviations are of value comparable to the mean.

Verfasser: Alexander V. Spirov (11302085)
Ekaterina M. Myasnikova (12008895)
Dokumenttyp: Image
Erscheinungsdatum: 2022
Schlagwörter: Biochemistry / Biotechnology / Evolutionary Biology / Infectious Diseases / Biological Sciences not elsewhere classified / larger building blocks / identifying short schemata / holland &# 8217 / dna -) rna / classical selectionist schemes / biological royal staircase / numerical tests showed / achieve significant savings / functional biological macromolecules / ec extensively study / already found modules / experimental evolutionary search / simple heuristic algorithms / many new algorithms / effective evolutionary search / vitro evolution approaches / biological macromolecules / evolutionary search / new algorithms / heuristic algorithms / significant increase / numerical analysis / evolutionary computation / vitro evolution / vitro </ / search recombine / genetic algorithms / synthetic biology / strong arguments / specific version / seems reasonable / schema theorem / quite suitable / publication arises / originally based / modular organization / key instrument / high fitness / functions ) / essentially accelerating / especially true / effectively applied / ec approaches / directed evolution / computer sciences
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-27106671
Datenquelle: BASE; Originalkatalog
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Link(s) : https://doi.org/10.1371/journal.pone.0260497.g007