Quantum computing (QC) is an emerging paradigm with the potential to offer significant
computational advantage over conventional classical computing by exploiting quantum …

Portfolio optimization has always been a challenging proposition in finance and
management. Portfolio optimization facilitates in selection of portfolios in a volatile market …

Knowledge of the disturbance of the concerned bus is essential to make decisions to
mitigate voltage sags. The most commonly used method is to estimate the state of voltage …

Quantum-inspired metaheuristics emerged by combining the quantum mechanics principles
with the metaheuristic algorithms concepts. These algorithms extend the diversity of the …

In this article, we investigate a secrecy cell-free massive multiple-input multiple-output
system with network-assisted full duplexing for both noncolluding eavesdropper (Eve) and …

Over the last few decades, supply chain integrated project scheduling problems have
received greater attention to ensure profitability in organizations. Supply chain integrated …

With the rapid development of economic globalization and information technology, the
projects undertaken by enterprises are gradually becoming larger and more complex. The …

The paper proposed a new algorithm to solve the Multiskill Resource‐Constrained Project
Scheduling Problem (MS‐RCPSP), a combinational optimization problem proved in NP …

Device-to-Device (D2D) communication with Cloud Radio Access Networks (CRAN) has
emerged as a promising technology to fulfil the objective of 5th-Generation networks with …

This paper proposes an evolutionary algorithm integrating genetic programming and a
decomposition-based multi-objective algorithm to address a crude oil refinery scheduling …