DocumentCode :
2396169
Title :
Comparison of genetic algorithm reproduction methods for distribution system loss minimization
Author :
Tsai, Men-Shen ; Hsu, Fu-Yuan
Author_Institution :
Inst. of Autom. Technol., Nat. Taipei Univ. of Technol., Taiwan
Volume :
7
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
4113
Abstract :
This work compares several genetic algorithm reproduction methods for distribution system loss reduction and load balancing problems. Traditional GA crossover procedures use one-point or two-point crossover methods to form chromosomes for the next generation. Although, the chromosomes can be easily obtained, a repair algorithm is needed in case of invalid chromosomes are formed. In this paper, asexual reproduction method is proposed. Several different reproduction methods are compared. From the results, the asexual reproduction methods require less generations to reach the optimal solution than gamogenesis.
Keywords :
genetic algorithms; load distribution; minimisation; power distribution; asexual reproduction method; chromosome formation; distribution system loss minimization; gamogenesis; genetic algorithm reproduction methods; load balancing problems; one point crossover method; repair algorithm; two point crossover method; Automation; Biological cells; Capacitors; Computers; Data structures; Genetic algorithms; Load modeling; Minimization methods; Optimization methods; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
Type :
conf
DOI :
10.1109/ICMLC.2004.1384560
Filename :
1384560
Link To Document :
بازگشت