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Sistemic Evolutionary Algorithm for Designing the Development of the Electrical Power System

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2 Author(s)
Tchorzewski, J. ; Dept. of Artificial Intell., Univ. of Life Sci. & Humanities, Siedlce, Poland ; Chyzy, E.

The paper contains the concept and the results of research concerning the evolutionary algorithm, identified based on the systems control theory, which was called the Systemic Evolutionary Algorithm (SAE). Special attention was paid to two elements of evolutionary algorithms, which have not been fully solved yet, i.e. to the methods used to create the initial population and the method of creating the robustness (fitness) function. Other elements of the SEA algorithm, i.a. cross-over, mutation, selection, etc. were also defined from a systemic point of view. Computational experiments were conducted using a selected subsystem of the Polish Electrical Power System and three programming languages: Java, C++ and Matlab. Selected comparative results for the SAE algorithm in different implementations were also presented.

Published in:

Computer Modelling and Simulation (UKSim), 2011 UkSim 13th International Conference on

Date of Conference:

March 30 2011-April 1 2011