Clustering in Conjunction with Quantum Genetic Algorithm for Relevant Genes Selection for Cancer Microarray Data

A quantum-inspired genetic algorithm for solving the antenna positioning problem

“…In other words, if the value of |β| 2 is 0 (or 1), the state of the Q-bit will have high probability to remain 0 (or 1) [46, 54,75]. On the basis of these observations, we can see that the value of θ greatly influences its performances.…”

Quantum Genetic Algorithms for Computer Scientists

“…The leap from emulation to the actual implementation of quantum algorithms is a big step that should be accompanied by a good training of future computer scientists on the fundamentals of quantum mechanics [80]. The result of these changes will be a dramatic increase of the applications of quantum evolutionary algorithms, either on specific problems, e.g., the analysis of cancer microarray data [81] or in classical engineering optimization problems [82]. Moreover, it is also expected an increase in the number of applications in the field of Artificial Intelligence, e.g., the N-Queens problem [83], and even in the field of Artificial Life [84].…”