Energy plays a vital role in executing domestic and industrial activities on a daily basis and
therefore, it is fundamental to the development of any nation. Energy obtained from …

The optimization techniques usually work with the maximization or minimization of the
problem to obtain the local loci or cumulative global loci. Two-dimensional bio-inspired …

The flying foxes optimization (FFO) algorithm stimulated by the strategy used by flying foxes
for subsistence in heat wave environments has shown good performance in the single …

The wind resources of mountain wind farms are affected by more complex terrain than are
found at flat wind farms. Wind turbine (WT) failures caused by frequent operation of the yaw …

In the development of a software product, the Next Release Problem is the selection of the
most appropriate subset of requirements (tasks) to include in the next release of the product …

This article focuses on multiobjective optimization in the design of bridges and viaducts. The
problem is characterized as a multi-objective optimization, with the objective functions being …

Research on multi-objective discrete optimization of Waste Electrical and Electronic
Equipment (WEEE) remanufacturing remains under-studied in the literature …

Sparsity is a highly desired feature in deep neural networks (DNNs) since it ensures
numerical efficiency, improves the interpretability (due to the smaller number of relevant …

The software requirement selection problem endeavors to ascertain the optimal set of
software requirements with the dual objectives of minimizing software cost and maximizing …

Identifying chemical compounds with optimal properties for specific applications presents a
fundamental challenge in materials science. Traditional methods, based on trialand-error …