Semiclassical genetic algorithm with quantum crossover and mutation
operations [PDF]
Akira SaiToh, Robabeh Rahimi, Mikio NakaharaIn order for finding a good individual for a given fitness function in theView original: http://arxiv.org/abs/1202.2026
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.
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