The whale optimization algorithm (WOA), a biologically inspired optimization technique, is
known for its straightforward design and effectiveness. Despite many advantages, it has …

Usually, a large number of concurrent bag-of-tasks (BoTs) application execution requests
are submitted to cloud data centers (CDCs), which needs to be optimally scheduled on the …

Renewable energy-based distributed generators (DGs) are gaining more penetration in
modern grids to meet the growing demand for electrical energy. The anticipated techno …

The problem of scheduling of tasks in distributed, heterogeneous, and multiprocessing
computing environment like grid and cloud computing is considered as one of the most …

Engineering designs are common industrial optimization problems that need an efficient
method to determine the parameters of the problems. This paper proposes a novel …

Favourable performance of designed controllers for Permanent magnet synchronous motors
(PMSMs), deeply depends on accurate model and parameters of PMSM. This paper …

Bag-of-Tasks (BoT) scheduling over cloud computing resources called Cloud Bag-of-Tasks
Scheduling (CBS) problem, which is a well-known NP-hard optimization problem. Whale …

Objective By optimizing the extreme learning machine network with particle swarm
optimization, we established a syndrome classification and prediction model for primary liver …

With the rapid increase in the use of cloud computing systems, an efficient task scheduling
policy, which deals with the assignment of tasks to resources, is required to obtain maximum …

Food needs are increasing day by day, and traditional agricultural methods are not
responding efficiently. Moreover, considering other important global challenges such as …