Research of Simple Genetic Algorithm Parameters for Estimating Duration of the Elements of the “Work-Rest” Cycle of a Production Worker

Author(s):  
Alexander Nikolaevich Varnavsky
Author(s):  
K. Kamil ◽  
K.H Chong ◽  
H. Hashim ◽  
S.A. Shaaya

<p>Genetic algorithm is a well-known metaheuristic method to solve optimization problem mimic the natural process of cell reproduction. Having great advantages on solving optimization problem makes this method popular among researchers to improve the performance of simple Genetic Algorithm and apply it in many areas. However, Genetic Algorithm has its own weakness of less diversity which cause premature convergence where the potential answer trapped in its local optimum.  This paper proposed a method Multiple Mitosis Genetic Algorithm to improve the performance of simple Genetic Algorithm to promote high diversity of high-quality individuals by having 3 different steps which are set multiplying factor before the crossover process, conduct multiple mitosis crossover and introduce mini loop in each generation. Results shows that the percentage of great quality individuals improve until 90 percent of total population to find the global optimum.</p>


2000 ◽  
Vol 36 (12) ◽  
pp. 3757-3761 ◽  
Author(s):  
Patrick Reed ◽  
Barbara Minsker ◽  
David E. Goldberg

1999 ◽  
Vol 9 ◽  
pp. 23-28 ◽  
Author(s):  
Chris Brown

Talking Drum is an interactive computer network music installation designed for the diffusion of cyclically repeating rhythms produced by four electronically synchronized instruments separated by distances up to 50 feet (16 m). The reverberant character of the performance space and the distance-related time-delays between stations combine with the speed and rhythms of the music to create a complex, multifocal mix that audiences explore by moving independently through the installation. The software uses Afro-Cuban musical concepts as a model for creating an interactive drum machine. It implements a simple genetic algorithm to mediate the interaction between pre-composed and improvised rhythms.


Author(s):  
A. Artiba ◽  
V. V. Emelyanov ◽  
S. I. Iassinovski

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