Grey wolf optimizer: a review of recent variants and applications
Grey wolf optimizer (GWO) is one of recent metaheuristics swarm intelligence methods. It
has been widely tailored for a wide variety of optimization problems due to its impressive …
has been widely tailored for a wide variety of optimization problems due to its impressive …
A review of multi-objective optimization: methods and algorithms in mechanical engineering problems
JLJ Pereira, GA Oliver, MB Francisco… - … Methods in Engineering, 2022 - Springer
The optimization problems that must meet more than one objective are called multi-objective
optimization problems and may present several optimal solutions. This manuscript brings …
optimization problems and may present several optimal solutions. This manuscript brings …
Mother optimization algorithm: A new human-based metaheuristic approach for solving engineering optimization
This article's innovation and novelty are introducing a new metaheuristic method called
mother optimization algorithm (MOA) that mimics the human interaction between a mother …
mother optimization algorithm (MOA) that mimics the human interaction between a mother …
Human–robot collaborative scheduling in energy-efficient welding shop
C Lu, R Gao, L Yin, B Zhang - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Human–robot collaborative scheduling has been widely applied in modern manufacturing
industry. A rational scheduling of human–robot cooperation plays an important role in …
industry. A rational scheduling of human–robot cooperation plays an important role in …
An effective hybrid collaborative algorithm for energy-efficient distributed permutation flow-shop inverse scheduling
J Mou, P Duan, L Gao, X Liu, J Li - Future Generation Computer Systems, 2022 - Elsevier
Distributed scheduling problem, a novel model of intelligent manufacturing, urgently needs
new scheduling methods to meet the dynamic market demand. The inverse scheduling in a …
new scheduling methods to meet the dynamic market demand. The inverse scheduling in a …
A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection
M Abdel-Basset, D El-Shahat, I El-Henawy… - Expert Systems with …, 2020 - Elsevier
Because of their high dimensionality, dealing with large datasets can hinder the data mining
process. Thus, the feature selection is a pre-process mandatory phase for reducing the …
process. Thus, the feature selection is a pre-process mandatory phase for reducing the …
A novel random walk grey wolf optimizer
Abstract Grey Wolf Optimizer (GWO) algorithm is a relatively new algorithm in the field of
swarm intelligence for solving continuous optimization problems as well as real world …
swarm intelligence for solving continuous optimization problems as well as real world …
MOAVOA: a new multi-objective artificial vultures optimization algorithm
N Khodadadi, F Soleimanian Gharehchopogh… - Neural Computing and …, 2022 - Springer
This paper presents a multi-objective version of the artificial vultures optimization algorithm
(AVOA) for a multi-objective optimization problem called a multi-objective AVOA (MOAVOA) …
(AVOA) for a multi-objective optimization problem called a multi-objective AVOA (MOAVOA) …
Unlocking the power of industrial artificial intelligence towards Industry 5.0: Insights, pathways, and challenges
With the continuous development of human-centric, resilient, and sustainable manufacturing
towards Industry 5.0, Artificial Intelligence (AI) has gradually unveiled new opportunities for …
towards Industry 5.0, Artificial Intelligence (AI) has gradually unveiled new opportunities for …
Discrete Grey Wolf Optimizer for symmetric travelling salesman problem
Abstract Grey Wolf Optimizer (GWO) is a recently developed population-based metaheuristic
algorithm which imitates the behaviour of grey wolves for survival. Initially, GWO was …
algorithm which imitates the behaviour of grey wolves for survival. Initially, GWO was …