Quantum-Enhanced Selection Operators for Evolutionary Algorithms. (arXiv:2206.10743v1 [quant-ph])

Web: http://arxiv.org/abs/2206.10743

Genetic algorithms have unique properties which are useful when applied to
black box optimization. Using selection, crossover, and mutation operators,
candidate solutions may be obtained without the need to calculate a gradient.
In this work, we study results obtained from using quantum-enhanced operators
within the selection mechanism of a genetic algorithm. Our approach frames the
selection process as a minimization of a binary quadratic model with which we
encode fitness and distance between members of a population, and we leverage …

algorithms arxiv evolutionary algorithms operators quantum