Title :
A Processor for Genetic Algorithm Based on Redundant Binary Number
Author :
Aoshima, Masanao ; Kanasugi, Akinori
Author_Institution :
Grad. Sch. of Eng., Tokyo Denki Univ., Tokyo
Abstract :
A Design and Simulation for DynamicThis paper describes a design of novel processor for genetic algorithm (GA) based on redundant binary number. In conventional GA, genetic information is expressed by binary number. On the other hand, the proposed processor is based on redundant binary number. Therefore, the number of expression of optimized solutions for the target function increase. For this reason, it is easy to find the optimized solution, and error rates decrease. The processor was designed by using VHDL and simulated. The effectiveness of the proposed processor was confirmed by logic circuit simulations.
Keywords :
genetic algorithms; hardware description languages; logic circuits; redundant number systems; VHDL; error rates; genetic algorithm; logic circuit simulations; redundant binary number; Biological cells; Character generation; Circuit simulation; Decoding; Error analysis; Flowcharts; Genetic algorithms; Hardware; Machine learning algorithms; Process design; Genetic Algorithm; Redundant binary number;
Conference_Titel :
Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on
Conference_Location :
Busan
Print_ISBN :
978-0-7695-3407-7
DOI :
10.1109/ICCIT.2008.21
