Metaheuristic algorithms are widely known as efficient solutions for solving problems of
optimization. These algorithms supply powerful instruments with significant engineering …

The fundamental security aspect of the classical crypto-system depends on integer
factorization and discrete logarithm problems. The quantum factorization problem is a crucial …

By providing after-sale services, manufacturing companies can gain more chances to
interact with customers, improve brand preference and loyalty, occupy new bases in the …

This paper addresses the scheduling of turnaround operations for flights in civil airports. A
series of complex issues, including the heterogeneity of flights and operators, resource …

This paper presents an in-depth analysis of a Quantum-inspired Multi-objective Optimization
Algorithm (QMOA) applied to a unique problem: maximizing trading profits while minimizing …

This chapter introduces a lightweight quantum-inspired genetic algorithm (LQIGA) to tackle
the challenges of workforce scheduling in supply chain and logistics operations, with a …

This paper aims to synthesize the literature on the application of artificial intelligence for
airports. The selected methodology was based on the PRISMA Extension for Scoping …

It is often computationally intensive to solve combinatorialoptimisation problems due to the
inherent large solution space. These problems are commonly observed in the fields of …

Quantum computing is attracting increasing attention due to both the threats and the
opportunities it may present. Nonetheless, the technology is still nascent and thus far lacks …