An improved grey wolf optimizer for solving engineering problems
In this article, an Improved Grey Wolf Optimizer (I-GWO) is proposed for solving global
optimization and engineering design problems. This improvement is proposed to alleviate …
optimization and engineering design problems. This improvement is proposed to alleviate …
Binary optimization using hybrid grey wolf optimization for feature selection
A binary version of the hybrid grey wolf optimization (GWO) and particle swarm optimization
(PSO) is proposed to solve feature selection problems in this paper. The original PSOGWO …
(PSO) is proposed to solve feature selection problems in this paper. The original PSOGWO …
A survey of swarm intelligence based load balancing techniques in cloud computing environment
Cloud computing offers flexible, interactive, and observable access to shared resources on
the Internet. It frees users from the requirements of managing computing on their hardware. It …
the Internet. It frees users from the requirements of managing computing on their hardware. It …
GGWO: Gaze cues learning-based grey wolf optimizer and its applications for solving engineering problems
In this article, an improved variant of the grey wolf optimizer (GWO) named gaze cues
learning-based grey wolf optimizer (GGWO) is proposed. The main intentions are to reduce …
learning-based grey wolf optimizer (GGWO) is proposed. The main intentions are to reduce …
Fractional multivariate grey Bernoulli model combined with improved grey wolf algorithm: Application in short-term power load forecasting
C Yin, S Mao - Energy, 2023 - Elsevier
The accurate prediction of power load is helpful to make reasonable power generation plans
and scientific dispatching schemes and achieve the goal of energy saving and emission …
and scientific dispatching schemes and achieve the goal of energy saving and emission …
ESO: An enhanced snake optimizer for real-world engineering problems
L Yao, P Yuan, CY Tsai, T Zhang, Y Lu… - Expert Systems with …, 2023 - Elsevier
Meta-heuristic algorithms are an essential way to solve realistic optimization problems.
Developing effective, accurate, and stable meta-heuristic algorithms has become the goal of …
Developing effective, accurate, and stable meta-heuristic algorithms has become the goal of …
A modified grey wolf optimization algorithm for an intrusion detection system
Cyber-attacks and unauthorized application usage have increased due to the extensive use
of Internet services and applications over computer networks, posing a threat to the service's …
of Internet services and applications over computer networks, posing a threat to the service's …
A new hybrid algorithm based on grey wolf optimization and crow search algorithm for unconstrained function optimization and feature selection
Grey wolf optimizer (GWO) is a very efficient metaheuristic inspired by the hierarchy of the
Canis lupus wolves. It has been extensively employed to a variety of practical applications …
Canis lupus wolves. It has been extensively employed to a variety of practical applications …
Memory, evolutionary operator, and local search based improved Grey Wolf Optimizer with linear population size reduction technique
Optimization of multi-modal functions is challenging even for evolutionary and swarm-based
algorithms as it requires an efficient exploration for finding the promising region of the …
algorithms as it requires an efficient exploration for finding the promising region of the …
Intelligent control of robotic manipulators: a comprehensive review
Technological advancements in robotics significantly impact the design of robotic
manipulators and their control. Manipulators find applications in electrical, mechanical, and …
manipulators and their control. Manipulators find applications in electrical, mechanical, and …