DocumentCode :
2998198
Title :
Sistemic Evolutionary Algorithm for Designing the Development of the Electrical Power System
Author :
Tchorzewski, Jerzy ; Chyzy, Emil
Author_Institution :
Dept. of Artificial Intell., Univ. of Life Sci. & Humanities, Siedlce, Poland
fYear :
2011
fDate :
March 30 2011-April 1 2011
Firstpage :
14
Lastpage :
19
Abstract :
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.
Keywords :
C++ language; Java; control system synthesis; evolutionary computation; mathematics computing; power engineering computing; power system control; C++ programming language; Java programming language; Matlab programming language; electrical power system; robustness function; systematic evolutionary algorithm; systems control theory; Employment; Evolutionary computation; Genetics; Java; Mathematical model; Power generation; C++; Java; Matlab; artificial intelligence; beginning population; electric power system; evolutionary algorithm; fitness function; system development;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2011 UkSim 13th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-61284-705-4
Electronic_ISBN :
978-0-7695-4376-5
Type :
conf
DOI :
10.1109/UKSIM.2011.13
Filename :
5754200
Link To Document :
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