Title :
A Genetic Algorithm for Evolutionary Voting System
Author :
Jun, Wu ; Dan, Xie ; Zhen, Zhao
Author_Institution :
Dept. of IT, HuBei Traditional Chinese Medicine Coll.
Abstract :
Different from traditional fault tolerant systems (e.g. the voting system), genetic algorithms are applied to the actual hardware systems, which ensures that the units found to be faulty could be improved and eventually reach full functionality through evolution. We design and implement a genetic algorithm by C++ language in the evolutionary voting system. Experimental results shows a genetic algorithm to be an effective strategy in some areas of engineering optimization
Keywords :
C++ language; fault tolerant computing; genetic algorithms; C++ language; engineering optimization; evolutionary voting system; fault tolerant systems; genetic algorithm; Circuit faults; Educational institutions; Evolution (biology); Fault tolerant systems; Flip-flops; Genetic algorithms; Genetic mutations; Hardware; Routing; Voting;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2006. WiCOM 2006.International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-0517-3
DOI :
10.1109/WiCOM.2006.395
