Title :
Hybrid fitness assignment strategy in IGA
Author :
Sugimoto, Futoshi ; Yoneyama, Masahide
Author_Institution :
Dept. of Inf. & Comput. Sci., Toyo Univ., Saitama, Japan
Abstract :
We have been developing a hybrid fitness assignment strategy to realize a natural interaction in IGA. The strategy allows a user to select some individuals and evaluate a grade that shows how the selected individual resembles a target image. In this paper, we will show a method to compose fitness when a user selects two individuals in the hybrid fitness assignment strategy. It is known that better performance is obtained when two individuals are selected in the generations limited with a condition. The condition is equivalent to the actual situation in which it is difficult for a user to select only one individual. The hybrid strategy is useful to realize a more natural interaction in the actual situation.
Keywords :
genetic algorithms; image matching; image retrieval; image sampling; parameter space methods; IGA; human interface; hybrid fitness assignment strategy; individual selection; interactive genetic algorithm; natural interaction; parameter space; target image; Differential equations; Fuzzy reasoning; Genetic algorithms; Humans; Search methods;
Conference_Titel :
Multimedia Signal Processing, 2002 IEEE Workshop on
Print_ISBN :
0-7803-7713-3
DOI :
10.1109/MMSP.2002.1203301