25 years of particle swarm optimization: Flourishing voyage of two decades
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 …
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
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 …
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 …
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
Green flexible job-shop scheduling problem (FJSP) aims to improve profit and reduce
energy consumption for modern manufacturing. Meanwhile, FJSP with type-2 fuzzy …
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
With increasing environmental awareness and energy requirement, sustainable
manufacturing has attracted growing attention. Meanwhile, distributed manufacturing …
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
With economic globalization and increasingly concerned sustainable manufacturing, energy-
aware distributed scheduling and flexible assembly are significant to optimize global supply …
aware distributed scheduling and flexible assembly are significant to optimize global supply …
Fog computing for energy-aware load balancing and scheduling in smart factory
Due to the development of modern information technology, the emergence of the fog
computing enhances equipment computational power and provides new solutions for …
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 …
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
Facing increasingly serious ecological problems, sustainable development and green
manufacturing have attracted much attention. Meanwhile, with the development of …
manufacturing have attracted much attention. Meanwhile, with the development of …
Robust design of a robot gripper mechanism using new hybrid grasshopper optimization algorithm
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 …
industrial robots. The motivation behind this research is to design a robot gripper …