Title :
Application of genetic algorithms for maintenance scheduling in power systems
Author :
Negnevitsky, Michael ; Kelareva, Galina
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Tasmania Univ., Hobart, Tas., Australia
Abstract :
Genetic algorithms became popular as a powerful optimisation tool, relevant for a variety of problems. The paper describes an application of traditional genetic algorithms to maintenance scheduling in power systems. A representation, integrating any constraints, suitable for a variety of problems, is designed and appropriate chromosome evaluation is suggested. Two example problems are discussed
Keywords :
genetic algorithms; maintenance engineering; power engineering computing; power system planning; scheduling; chromosome evaluation; genetic algorithms; maintenance scheduling; optimisation tool; power systems; Application software; Biological cells; Genetic algorithms; Genetic engineering; Maintenance; Optimal scheduling; Power engineering and energy; Power systems; Processor scheduling; Scheduling algorithm;
Conference_Titel :
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-5871-6
DOI :
10.1109/ICONIP.1999.845636
