Quantum mechanics (QM) can be understood as a set of rules that forms the basis for
developing all quantum theories. One of these theories is quantum computation (QC), ie …

Disagreement and confusion about artificial intelligence (AI) terminology impede
researchers, innovators, and practitioners when developing and implementing enterprise …

Context The current technology revolution has posed unexpected challenges for the
software industry. In recent years, the field of quantum computing (QC) technologies has …

This paper introduces a novel physical-inspired metaheuristic algorithm called “Light
Spectrum Optimizer (LSO)” for continuous optimization problems. The inspiration for the …

Quantum inspired computational intelligence is gaining momentum in the interest of
enhancing the performance of existing metaheuristic optimization while solving multi …

In practice, stock market behavior is difficult to predict accurately because of its high
volatility. To improve market forecasts, a method inspired by Elman neural network and …

Machine Learning (ML) aims at designing models that learn from previous experience,
without being explicitly formulated. Applications of machine learning are inexhaustible …

With the advancement of the 5G networks, edge computing (EC) assisted Internet of Things
(IoT) based applications demand real-time computation and high-volume data-intensive …

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 …

We propose a new quantum-inspired genetic algorithm (QGA) aimed to find the optimal
initial cluster centers of the Fuzzy C-Means (FCM). The quantum chromosomes of the …