Irrigation is very important for ensuring food security and reducing crop production
vulnerability caused by the lack of rain. Sustainable irrigation is the rational practice of all the …

One-dimensional (1-D) chaotic maps have been considered as prominent pseudo-random
source for the design of different cryptographic primitives. They have the advantages of …

The hydropower problems are non-linear and non-convex in nature; therefore, optimizing
the operations of multi-hydropower plants in a multi-reservoir system is always challenging …

In this paper, the economic load dispatch (ELD) problem which is an important problem in
electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of …

In this paper, the economic load dispatch (ELD) problem with valve point effect is tackled
using a hybridization between salp swarm algorithm (SSA) as a population-based algorithm …

In this paper, the learning process of multilayer perceptron (MLP) neural network is boosted
using hybrid metaheuristic optimization algorithms. Normally, the learning process in MLP …

This paper introduces βHCWT, a hybrid of the β-hill climbing metaheuristic algorithm and
wavelet transform (WT), as a new method for denoising electrocardiogram (ECG) signals …

Economic load dispatch (ELD) is a crucial problem in the power system which is tackled by
distributing the required generation power through a set of units to minimize the fuel cost …

The fourth industrial revolution in agriculture seeks the automation of traditional practices,
using modern smart technologies. Advances in electronics, computation and the internet of …

Feature selection is an essential stage in many data mining and machine learning and
applications that find the proper subset of features from a set of irrelevant, redundant, noisy …