EA-MSCA: An effective energy-aware multi-objective modified sine-cosine algorithm for real-time task scheduling in multiprocessor systems: Methods and analysis

M Abdel-Basset, R Mohamed, M Abouhawwash… - Expert systems with …, 2021 - Elsevier
With the significant growth of multiprocessor systems (MPS) to deal with complex tasks and
speed up their execution, the energy generated as a result of this growth becomes one of …

A comprehensive review of evolutionary algorithms for multiprocessor DAG scheduling

EC da Silva, PHR Gabriel - Computation, 2020 - mdpi.com
The multiprocessor task scheduling problem has received considerable attention over the
last three decades. In this context, a wide range of studies focuses on the design of …

Energy-aware whale optimization algorithm for real-time task scheduling in multiprocessor systems

M Abdel-Basset, D El-Shahat, K Deb… - Applied Soft …, 2020 - Elsevier
Abstract The growth of Multiprocessing Systems (MPS) has become a necessity for dealing
with complex tasks and speeding up their execution. Increasing the number of processing …

Optimization of day-ahead energy storage system scheduling in microgrid using genetic algorithm and particle swarm optimization

A Raghavan, P Maan, AKB Shenoy - Ieee Access, 2020 - ieeexplore.ieee.org
We present a day-ahead scheduling strategy for an Energy Storage System (ESS) in a
microgrid using two algorithms-Genetic Algorithm (GA) and Particle Swarm Optimization …

A survey of low-energy parallel scheduling algorithms

G Xie, X Xiao, H Peng, R Li, K Li - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
High energy consumption is one of the biggest obstacles to the rapid development of
computing systems, and reducing energy consumption is quite urgent and necessary for …

Optimising makespan and energy consumption in task scheduling for parallel systems

R Stewart, A Raith, O Sinnen - Computers & Operations Research, 2023 - Elsevier
In parallel computing, the scheduling of the tasks of an application onto the processors of the
parallel system is crucial. A task schedule determines both the allocation of tasks to the …

Deep neural network for predicting changing market demands in the energy sector for a sustainable economy

M Wen, C Zhou, M Konstantin - Energies, 2023 - mdpi.com
Increasing access to power, enhancing clean cooking fuels, decreasing wasteful energy
subsidies, and limiting fatal air pollution are just a few of the sustainable development goals …

A hybrid algorithm for task scheduling on heterogeneous multiprocessor embedded systems

G Taheri, A Khonsari, R Entezari-Maleki, L Sousa - Applied Soft Computing, 2020 - Elsevier
Most of the scheduling algorithms proposed for real-time embedded systems, with energy
constraints, try to reduce power consumption. However, reducing the power consumption …

An adaptive memetic algorithm for the joint allocation of heterogeneous stochastic resources

Y Wang, B Xin, J Chen - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
This article investigates the joint allocation problem of stochastic resources (JASRs), which
is widely found in complex systems. A general mathematical model for joint allocation of …

Human machine interaction-assisted smart educational system for rural children

WEI Na, Y Feng, BA Muthu, A Shanthini - Computers and Electrical …, 2022 - Elsevier
School systems are primarily dependant on government and government-supported
institutions for a country's rural education. It is not easy for rural schooling; rural children are …