DocumentCode
1959684
Title
Heterogeneous variable-length genotypes for evolutionary optimization
Author
Sakka, S.
Author_Institution
Inst. of Intelligent Syst., National Inst. of Adv. Industrial Sci. & Technol., Tsukuba, Japan
fYear
2004
fDate
17-20 June 2004
Firstpage
29
Lastpage
34
Abstract
This paper deals with evolutionary programming for optimization problems. The algorithm manipulates chromosomes of which genotypes contains heterogeneous data (integer and float numbers), depending on each other. Moreover, length of the chromosomes is different within a common evolution. The evolutionary algorithm is described and optimization results are compared to the previously implemented methodology. Stability of the algorithm facing a change of problem dimensions is also tested and discussed.
Keywords
evolutionary computation; chromosomes; evolutionary optimization; heterogeneous data; heterogeneous genotypes; Automatic generation control; Biological cells; Intelligent robots; Intelligent systems; Optimization methods; Paper technology; Robot kinematics; Robotics and automation; Stability; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Robot Motion and Control, 2004. RoMoCo'04. Proceedings of the Fourth International Workshop on
Print_ISBN
83-7143-272-0
Type
conf
DOI
10.1109/ROMOCO.2004.240570
Filename
1359478
Link To Document