In this paper, two meta-heuristics techniques have been employed to introduce two new
quantum inspired meta-heuristic methods, namely quantum inspired genetic algorithm and …

We investigate two modified Quantum Evolutionary methods for solving real value problems.
The Quantum Inspired Evolutionary Algorithms (QIEA) were originally used for solving …

In this chapter, a Quantum-Inspired Genetic Algorithm (QIGA) is presented. The QIGA
adopted the inherent principles of quantum computing and has been applied on three gray …

Genetic algorithms are widely used for solving optimization problems. As the search space
of the problem is augmented, the probability of falling into local minima will be augmented …

We propose and investigate new rotation gates for two modified Quantum Inspired
Evolutionary methods for solving high dimension optimisation problems. The Quantum …

In this article, a genetic algorithm inspired by quantum computing is presented. The novel
algorithm referred to as quantum inspired genetic algorithm (QIGA) is applied to determine …

We investigate a modified Quantum Evolutionary method for solving real value problems.
The Quantum Inspired Evolutionary Algorithms (QIEA) are binary encoded evolutionary …

A variant of quantum evolutionary algorithm based on dynamic neighborhood topology
(DNTQEA) is proposed in this paper. In DNTQEA, the neighborhood of a quantum particle …

Prezentowana rozprawa dotyczy nowej klasy metod ewolucyjnych Sztucznej Inteligencji,
czerpi acych inspiracje zarówno z ewolucji biologicznej, jak iz teoretycznych podstaw …

This paper overviews the development of the quantum information technology and the
quantum computing over the years, highlighting its potential promising applications in …