A reinforcement learning-driven brain storm optimisation algorithm for multi-objective energy-efficient distributed assembly no-wait flow shop scheduling problem

F Zhao, X Hu, L Wang, T Xu, N Zhu… - International Journal of …, 2023 - Taylor & Francis
A reinforcement learning-driven brain storm optimisation idea (RLBSO) is proposed in this
paper to solve multi-objective energy-efficient distributed assembly no-wait flow shop …

Solving user priority in cloud computing using enhanced optimization algorithm in workflow scheduling

A Aggarwal, S Kumar, A Bhatt… - Computational …, 2022 - Wiley Online Library
Cloud computing is a procedure of stockpiling as well as retrieval of data or computer
services over the Internet that allows all its users to remotely access the data centers. Cloud …

An agglomerative greedy brain storm optimization algorithm for solving the tsp

C Wu, X Fu - IEEE access, 2020 - ieeexplore.ieee.org
The brain storm optimization algorithm (BSO) is a population based metaheuristic algorithm
inspried by the human conferring process that was proposed in 2010. Since its first …

HEART: Unrelated parallel machines problem with precedence constraints for task scheduling in cloud computing using heuristic and meta‐heuristic algorithms

AK Bhardwaj, Y Gajpal, C Surti… - Software: Practice and …, 2020 - Wiley Online Library
Cloud computing is becoming a profitable technology because of it offers cost‐effective IT
solutions globally. A well‐designed task scheduling algorithm ensures the optimal utilization …

IFFO: an improved fruit fly optimization algorithm for multiple workflow scheduling minimizing cost and makespan in cloud computing environments

A Aggarwal, P Dimri, A Agarwal… - Mathematical …, 2021 - Wiley Online Library
Cloud computing platforms have been extensively using scientific workflows to execute
large‐scale applications. However, multiobjective workflow scheduling with scientific …

Comparative Study on Energy-Efficiency for Wireless Body Area Network using Machine Learning Approach

M Sehgal, S Goyal, S Kumar - 2022 Seventh International …, 2022 - ieeexplore.ieee.org
Awareness of one's own health needs is a quickly spreading revolution in contemporary
living. Wireless Body Area Network (WBAN), that uses smart IoT devices for device …

Locust inspired algorithm for cloudlet scheduling in cloud computing environments

MA Ala'anzy, M Othman, ZM Hanapi, MA Alrshah - Sensors, 2021 - mdpi.com
Cloud computing is an emerging paradigm that offers flexible and seamless services for
users based on their needs, including user budget savings. However, the involvement of a …

[PDF][PDF] Time Highlighted Multi-Interest Network for Sequential Recommendation.

J Ma, T Sun, X Zhang - Computers, Materials & Continua, 2023 - cdn.techscience.cn
Sequential recommendation based on a multi-interest framework aims to analyze different
aspects of interest based on historical interactions and generate predictions of a user's …

Mapping and Consolidation of VMs Using Locust-Inspired Algorithms for Green Cloud Computing

MA Ala'anzy, M Othman - Neural Processing Letters, 2022 - Springer
High energy consumption and serious reduction in the number of virtual machine (VM)
migrations in cloud data centres have become increasingly urgent challenges. Finding an …

Grading of Fruit Ripeness Using Arduino in IoT

DKJB Saini, SH Ahammad, P Das… - … in Engineering and …, 2023 - ieeexplore.ieee.org
Ripening is the process by which the growing fruit will get the required quality and palatable
nature. Grading fruits play an essential role in the food processing industry because by …