Integration of optimization by genetic algorithms into an L-system-based animation system

Author(s):  
H. Noser ◽  
P. Stucki ◽  
H.-P. Walser
2009 ◽  
Vol 19 ◽  
pp. 85-94 ◽  
Author(s):  
Stelios Manousakis

This paper presents a new non-standard technique for waveform synthesis in the time domain using L-systems, a formalism related to grammars, fractals and automata. This technique, developed as part of a larger-scale compositional system, is based on waveform segmentation and offers various methods for generating wavetables. The paper first introduces L-systems and some specifics of their interpretation and discusses extensions such as incorporating genetic algorithms and designing hierarchical L-systems and L-system networks. The second half describes the implementation model in detail, proposes some sound synthesis strategies and presents paths for further work.


1996 ◽  
Vol 47 (4) ◽  
pp. 550-561 ◽  
Author(s):  
Kathryn A Dowsland
Keyword(s):  

2018 ◽  
Vol 1 (1) ◽  
pp. 2-19
Author(s):  
Mahmood Sh. Majeed ◽  
Raid W. Daoud

A new method proposed in this paper to compute the fitness in Genetic Algorithms (GAs). In this new method the number of regions, which assigned for the population, divides the time. The fitness computation here differ from the previous methods, by compute it for each portion of the population as first pass, then the second pass begin to compute the fitness for population that lye in the portion which have bigger fitness value. The crossover and mutation and other GAs operator will do its work only for biggest fitness portion of the population. In this method, we can get a suitable and accurate group of proper solution for indexed profile of the photonic crystal fiber (PCF).


2011 ◽  
Vol 3 (6) ◽  
pp. 87-90
Author(s):  
O. H. Abdelwahed O. H. Abdelwahed ◽  
◽  
M. El-Sayed Wahed ◽  
O. Mohamed Eldaken

2011 ◽  
Vol 2 (3) ◽  
pp. 56-58
Author(s):  
Roshni .V Patel ◽  
◽  
Jignesh. S Patel

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