English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The paper contains the concept and the results of research concerning theevolutionary algorithm, identified based on the systems control theory, whichwas called the Systemically of Evolutionary Algorithm (SAE). Special attentionwas paid to two elements of evolutionary algorithms, which have not been fullysolved yet, i.e. to the methods used to create the initial population and themethod of creating the robustness (fitness) function. Other elements of the SEAalgorithm, i.a. cross-over, mutation, selection, etc. were also defined from asystemic point of view. Computational experiments were conducted using aselected subsystem of the Polish Electrical Power System and three programminglanguages: Java, C++ and Matlab. Selected comparative results for the SAEalgorithm in different implementations were also presented.

Reaserchnig the Development of the Electrical Power System Using Systemically Evolutionary Algorithm