RT Journal Article
T1 Quantum Genetic Algorithms for Computer Scientists
A1 Lahoz Beltrá, Rafael
AB Genetic algorithms (GAs) are a class of evolutionary algorithms inspired by Darwinian natural selection. They are popular heuristic optimisation methods based on simulated genetic mechanisms, i.e., mutation, crossover, etc. and population dynamical processes such as reproduction, selection, etc. Over the last decade, the possibility to emulate a quantum computer (a computer using quantum-mechanical phenomena to perform operations on data) has led to a new class of GAs known as “Quantum Genetic Algorithms” (QGAs). In this review, we present a discussion, future potential, pros and cons of this new class of GAs. The review will be oriented towards computer scientists interested in QGAs “avoiding” the possible difficulties of quantum-mechanical phenomena.
PB MDPI
SN 2073-431X
YR 2016
FD 2016
LK https://hdl.handle.net/20.500.14352/23452
UL https://hdl.handle.net/20.500.14352/23452
LA eng
NO Ministerio de Educación, Cultura y Deporte (MECD)
DS Docta Complutense
RD 28 abr 2024