Results 71 to 80 of about 8,834 (223)

Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu   +4 more
wiley   +1 more source

Intelligent Layout Method of Ship Pipelines Based on an Improved Grey Wolf Optimization Algorithm

open access: yesJournal of Marine Science and Engineering
Ship piping arrangement is a nondeterministic polynomial problem. Based on the advantages of the grey wolf optimization (GWO) algorithm, which is simple, easy to implement, and has few adjustment parameters and fast convergence speed, the study adopts ...
Yongjin Lu   +4 more
doaj   +1 more source

Review on Swarm Intelligence Optimization Techniques for Obstacle-Avoidance Localization in Wireless Sensor Networks [PDF]

open access: yes, 2018
Wireless sensor network (WSN) is an evolving research topic with potential applications. In WSN, the nodes are spatially distributed and determining the path of transmission high challenging.
Harriet, Puvitha, Saravanan, Palani
core  

A Hybrid Ant Colony and Grey Wolf Optimization Algorithm for Exploitation-Exploration Balance [PDF]

open access: yes
The Ant Colony Optimization (ACO) and Grey Wolf Optimizer (GWO) are well-known nature-inspired algorithms. ACO is a metaheuristic search algorithm that takes inspiration from the behavior of real ants.
Hartati, Sri   +2 more
core   +1 more source

Artificial intelligence in the cyber domain: Offense and defense [PDF]

open access: yes, 2020
Artificial intelligence techniques have grown rapidly in recent years, and their applications in practice can be seen in many fields, ranging from facial recognition to image analysis.
Diep, Quoc Bao   +2 more
core   +1 more source

Greedy Sine-Cosine Non-Hierarchical Grey Wolf Optimizer for Solving Non-Convex Economic Load Dispatch Problems

open access: yesEnergies, 2022
Economic load dispatch (ELD) provides significant benefits to the operation of the power system. It appears to be a complex nonconvex optimization problem subject to several equal and unequal constraints.
Ali S. Alghamdi
doaj   +1 more source

Digital twin-based Optimization on the basis of Grey Wolf Method. A Case Study on Motion Control Systems [PDF]

open access: yes, 2020
Nowadays, digital twins are fostering the development of plug, simulate and optimize behavior in industrial cyber-physical systems. This paper presents a digital twin-based optimization of a motion system on the basis of a grey wolf optimization (GWO ...
Castano, F.   +5 more
core   +1 more source

Capacity Optimization and Hierarchical Robust Control Verification of Wind–Solar–Diesel Hybrid Microgrid Based on Improved Multi‐Objective Grey Wolf Algorithm

open access: yesEngineering Reports, Volume 8, Issue 3, March 2026.
To address high‐altitude power transmission challenges, a composite controller was developed to suppress strong wind interference, demonstrating the effectiveness of hierarchical control in complex dynamic systems. Hardware‐in‐the‐loop experiments verified the robustness of the control algorithm, providing methodological support for developing ...
Shaofeng Bai, Jun Zhong
wiley   +1 more source

PENGARUH VARIASI RADIASI DAN SUHU TERHADAP PELACAKAN TITIK DAYA MAKSIMUM MODUL SURYA DENGAN METODE GREY WOLF OPTIMIZATION [PDF]

open access: yes, 2018
Modul surya memiliki karakteristik arus dan tegangan yang tidak linear dimana terdapat suatu nilai daya yang maksimum. Karakteristik daya modul surya akan berubah tergantung tingkat radiasi dan suhu yang diterima pada permukaan modul.
RIZKI FAULIANUR
core  

An Efficient Pattern Mining Convolution Neural Network (CNN) algorithm with Grey Wolf Optimization (GWO)

open access: yes, 2022
Automation of feature analysis in the dynamic image frame dataset deals with complexity of intensity mapping with normal and abnormal class. The threshold-based data clustering and feature analysis requires iterative model to learn the component of image frame in multi-pattern for different image frame data type.
Jamshed, Aatif   +2 more
openaire   +2 more sources

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