Results 51 to 60 of about 4,807 (213)

Improved Grey Wolf Optimization Algorithm and Application

open access: yesSensors, 2022
This paper proposed an improved Grey Wolf Optimizer (GWO) to resolve the problem of instability and convergence accuracy when GWO is used as a meta-heuristic algorithm with strong optimal search capability in the path planning for mobile robots. We improved chaotic tent mapping to initialize the wolves to enhance the global search ability and used a ...
Hou, Yuxiang   +3 more
openaire   +3 more sources

Hybrid Algorithm of Particle Swarm Optimization and Grey Wolf Optimizer for Improving Convergence Performance

open access: yesJournal of Applied Mathematics, 2017
A newly hybrid nature inspired algorithm called HPSOGWO is presented with the combination of Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO).
Narinder Singh, S. B. Singh
doaj   +1 more source

A Modified Grey Wolf Optimizer for Optimum Parameters of Multilayer Type-2 Asymmetric Fuzzy Controller

open access: yesIEEE Access, 2020
This study presents a modified algorithm of the grey wolf optimizer to solve the problem of learning rate selection in the multilayer type-2 asymmetric fuzzy controller (MT2AFC).
Tien-Loc Le   +2 more
doaj   +1 more source

Smart Parking Systems: A Review of Optimization Techniques and Technological Advances

open access: yesEnergy Science &Engineering, EarlyView.
This review highlights optimization techniques and recent technological advances in smart parking systems, emphasizing their role in enhancing efficiency, reducing congestion, and improving user experience. It provides insights into innovative approaches that shape the future of sustainable and intelligent urban mobility. ABSTRACT In heavily populated,
Amirhossein Khosravi Sarvenoee   +5 more
wiley   +1 more source

Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms [PDF]

open access: yesAdvances in Engineering and Intelligence Systems
The growing global population has significantly increased energy demand, particularly in the residential building sector. This surge underscores the necessity for accurate energy consumption forecasting to facilitate effective planning and future demand ...
Milad Mohebbi, Behnam Sobhani
doaj   +1 more source

Battery Degradation Reduction in Flywheel–Battery Hybrid Energy Storage Using SSA‐Optimized Fuzzy‐PI Control

open access: yesEnergy Science &Engineering, EarlyView.
SSA‐optimized fuzzy‐PI control reduces battery stress in flywheel–battery hybrid energy storage systems by shifting transient power fluctuations to the flywheel. The strategy decreases ampere‐hour throughput by 46.1% and rainflow damage by 71% while maintaining stable DC‐bus regulation.
ZiFen Han   +5 more
wiley   +1 more source

Applying Improved Grey Wolf Optimizer Algorithm Integrated with Cuckoo Search to Feature Selection for Network Intrusion Detection

open access: yes工程科学与技术, 2018
In order to solve the problem of low detection efficiency and low accuracy caused by feature redundancy in current network intrusion detection technology, an improved Grey Wolf Optimizer algorithm integrated with Cuckoo Search was applied to feature ...
Hui XU   +4 more
doaj  

A Hybrid Discrete Grey Wolf Optimizer to Solve Weapon Target Assignment Problems

open access: yesDiscrete Dynamics in Nature and Society, 2018
We propose a hybrid discrete grey wolf optimizer (HDGWO) in this paper to solve the weapon target assignment (WTA) problem, a kind of nonlinear integer programming problems.
Jun Wang   +3 more
doaj   +1 more source

Maze Puzzle Pattern‐Based Static Reconfiguration of Photovoltaic Arrays for Enhanced Shade Dispersion and Power Generation Under Partial Shading Conditions

open access: yesEnergy Science &Engineering, EarlyView.
A new maze puzzle pattern array (PPA) is presented to optimize shade allocation, alleviate the mismatch losses of PV (photovoltaic) arrays in partially shaded circumstances, and maximize output in partially shaded operation with zero extra sensors, switching components, and optimum searching schemes.
Alok Kumar Shrivastav   +4 more
wiley   +1 more source

Selective Opposition based Grey Wolf Optimization

open access: yesExpert Systems with Applications, 2020
Abstract The use of metaheuristics is widespread for optimization in both scientific and industrial problems due to several reasons, including flexibility, simplicity, and robustness. Grey Wolf Optimizer (GWO) is one of the most recent and popular algorithms in this area.
Souvik Dhargupta   +3 more
openaire   +3 more sources

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