To perform indicator selection and verification for the on-orbit fault reconstruction of a giant
satellite swarm, a hybrid multi-objective fault reconstruction algorithm is proposed and then …

Purpose This study presents a reliability-based and sustainability-informed maintenance
optimization model for telecommunications equipment. It considers several risk attributes …

The constant evolution of transportation systems and traffic in developing countries is
nowadays confronted with a problem of road safety and therefore of a high accident rate …

This paper explores the application of multi-objective optimization techniques, including
MOPSO, NSGA II, and SPEA2, to optimize the hyperparameters of artificial neural networks …

Among population-based optimization algorithms guided by meta-heuristics, Particle Swarm
Optimization (PSO) has gained significant popularity in the past two decades, particularly …

Infrastructure asset management is concerned with the efficient and sustainable utilization of
resources. There are numerous sources of uncertainties associated with the physical state of …

The integration of cutting-edge technologies, such as wearables, in complex systems is
crucial for enhancing collaboration between humans and machines in the era of Industry …

Nowadays, new methods are required to take advantage of the rich and extensive gold mine
of data given the vast content of data particularly created by educational systems. Data …

The problem in software cost estimation revolves around accuracy. To improve the accuracy,
heuristic/meta-heuristic algorithms have been known to yield better results when it is applied …

The capabilities of four population based algorithms including multi-objective particle swarm
optimization (MOPSO) improved non-dominated sorting genetic algorithm (NSGA-II) …