Computer Science – Neural and Evolutionary Computing
Scientific paper
2012-02-09
Computer Science
Neural and Evolutionary Computing
13 pages, no figure, v2: typos corrected, minor modifications in sections 3.5 and 4
Scientific paper
In order for finding a good individual for a given fitness function in the
context of evolutionary computing, we introduce a novel semiclassical quantum
genetic algorithm. It has both of quantum crossover and quantum mutation
procedures unlike conventional quantum genetic algorithms. A complexity
analysis shows a certain improvement over its classical counterpart.
Nakahara Mikio
Rahimi Robabeh
SaiToh Akira
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