Title :
Modeling hierarchical genetic strategy as a Lindenmayer system
Author :
Kolodziej, Joanna
Author_Institution :
Inst. of Math., Univ. of Bielsko-Biala, Poland
Abstract :
A hierarchical genetic strategy is an effective tool in solving ill posed global optimization problems. We use a context-sensitive stochastic Lindenmayer system to describe the structure of HGS. The results of simple numerical experiments are reported. We try to use this strategy in robot motion planning.
Keywords :
context-sensitive grammars; genetic algorithms; mobile robots; path planning; L systems; context-sensitive stochastic Lindenmayer system; genetic algorithms; grammar; hierarchical genetic strategy modeling; ill posed global optimization problems; numerical experiments; robot motion planning; Algorithm design and analysis; Genetic algorithms; Mathematical model; Mathematics; Motion planning; Optimization methods; Robot motion; Stochastic systems; Strategic planning; Tree data structures;
Conference_Titel :
Parallel Computing in Electrical Engineering, 2002. PARELEC '02. Proceedings. International Conference on
Print_ISBN :
0-7695-1730-7
DOI :
10.1109/PCEE.2002.1115312
