This paper presents a review of quantum-inspired population-based metaheuristics.
Quantum-inspired algorithms were born when there were no quantum computers; they …

We study the practical performance of quantum-inspired algorithms for recommendation
systems and linear systems of equations. These algorithms were shown to have an …

The field of natural computing has been the focus of a substantial research effort in recent
decades. One particular strand of this concerns the development of computational …

Natural phenomenon can be used to solve complex optimization problems with its excellent
facts, functions, and phenomenon. In this paper, a survey on physics‐based algorithm is …

In this work, we propose a quantum neural network named quantum perceptron over a field
(QPF). Quantum computers are not yet a reality and the models and algorithms proposed in …

The Resource-Constrained Project-Scheduling Problem (RCPSP) is an NP-hard problem
which can be found in many research domains. The optimal solution of the RCPSP …

The quantum-inspired evolutionary algorithm (QEA) applies several quantum computing
principles to solve optimization problems. In QEA, a population of probabilistic models of …

This paper makes an exhaustive survey of various applications of Quantum inspired
computational intelligence (QCI) techniques proposed till date. Definition, categorization and …

This paper introduces a new evolutionary algorithm with the support of an actual quantum
processor, a computing device which uses phenomena from quantum mechanics to enable …

Machine Learning classification models learn the relation between input as features and
output as a class in order to predict the class for the new given input. Several research works …