Title :
Scenario creation method by genetic algorithm for evaluating future plan
Author :
Hayashi, Y. ; Kim, H. ; Nara, K.
Author_Institution :
Dept. of Syst. Eng., Ibaraki Univ., Japan
Abstract :
Genetic algorithm (GA) is well-known as a search algorithm based on the mechanics of natural selection and natural genetics. The ability of adaptiveness of GA is available for various problems in industrial fields. In this paper, GA is applied to scenario creation for the evaluating future plan in order to support planner´s work. The proposed method is based on the planner´s knowledge which is used to create scenarios by planner. The effectiveness of the proposed method is demonstrated by numerical results for an example of application to the power system planning
Keywords :
genetic algorithms; neural nets; planning (artificial intelligence); power system analysis computing; power system planning; genetic algorithm; natural genetics; natural selection; numerical results; power system planning; scenario creation method; search algorithm; Chaos; Electronic mail; Genetic algorithms; Genetic engineering; Modeling; Neural networks; Power system planning; Systems engineering and theory;
Conference_Titel :
Evolutionary Computation, 1996., Proceedings of IEEE International Conference on
Conference_Location :
Nagoya
Print_ISBN :
0-7803-2902-3
DOI :
10.1109/ICEC.1996.542719
