25 years of particle swarm optimization: Flourishing voyage of two decades

J Nayak, H Swapnarekha, B Naik, G Dhiman… - … Methods in Engineering, 2023 - Springer
From the past few decades many nature inspired algorithms have been developed and
gaining more popularity because of their effectiveness in solving problems of distinct …

Edge and fog computing for IoT: A survey on current research activities & future directions

M Laroui, B Nour, H Moungla, MA Cherif, H Afifi… - Computer …, 2021 - Elsevier
Abstract The Internet of Things (IoT) allows communication between devices, things, and
any digital assets that send and receive data over a network without requiring interaction …

A self-learning discrete jaya algorithm for multiobjective energy-efficient distributed no-idle flow-shop scheduling problem in heterogeneous factory system

F Zhao, R Ma, L Wang - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
In this study, a self-learning discrete Jaya algorithm (SD-Jaya) is proposed to address the
energy-efficient distributed no-idle flow-shop scheduling problem (FSP) in a heterogeneous …

A learning-based memetic algorithm for energy-efficient flexible job-shop scheduling with type-2 fuzzy processing time

R Li, W Gong, C Lu, L Wang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Green flexible job-shop scheduling problem (FJSP) aims to improve profit and reduce
energy consumption for modern manufacturing. Meanwhile, FJSP with type-2 fuzzy …

A cooperative memetic algorithm with learning-based agent for energy-aware distributed hybrid flow-shop scheduling

JJ Wang, L Wang - IEEE Transactions on Evolutionary …, 2021 - ieeexplore.ieee.org
With increasing environmental awareness and energy requirement, sustainable
manufacturing has attracted growing attention. Meanwhile, distributed manufacturing …

A cooperative memetic algorithm with feedback for the energy-aware distributed flow-shops with flexible assembly scheduling

J Wang, L Wang - Computers & Industrial Engineering, 2022 - Elsevier
With economic globalization and increasingly concerned sustainable manufacturing, energy-
aware distributed scheduling and flexible assembly are significant to optimize global supply …

Fog computing for energy-aware load balancing and scheduling in smart factory

J Wan, B Chen, S Wang, M **a, D Li… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Due to the development of modern information technology, the emergence of the fog
computing enhances equipment computational power and provides new solutions for …

RETRACTED: A hybrid whale optimization algorithm based on local search strategy for the permutation flow shop scheduling problem

M Abdel-Basset, G Manogaran, D El-Shahat, S Mirjalili - 2018 - Elsevier
It was discovered post publication that the Managing Guest Editor of the Special Issue,
Gunasekaran Manogaran, was also an author of the article: the version of the paper which …

A knowledge-based cooperative algorithm for energy-efficient scheduling of distributed flow-shop

JJ Wang, L Wang - IEEE Transactions on Systems, Man, and …, 2018 - ieeexplore.ieee.org
Facing increasingly serious ecological problems, sustainable development and green
manufacturing have attracted much attention. Meanwhile, with the development of …

Robust design of a robot gripper mechanism using new hybrid grasshopper optimization algorithm

BS Yildiz, N Pholdee, S Bureerat, AR Yildiz… - Expert …, 2021 - Wiley Online Library
Structural design and optimization are important topics for the control and design of
industrial robots. The motivation behind this research is to design a robot gripper …