Results 31 to 40 of about 74,649 (273)

Improved Gray Wolf Algorithm Based on African Vulture Multi-Strategy and Its Application in Channel Estimation

open access: bronze電腦學刊
The Grey Wolf Optimizer (GWO) is known for its simple structure, easy implementation, and few control parameters, but it has problems such as slow convergence, local optimization of capture, and late reduction of population diversity.
Ji-Hua Chai Ji-Hua Chai   +4 more
openalex   +2 more sources

A Discrete Improved Gray Wolf Optimization Algorithm for Dynamic Distributed Flexible Job Shop Scheduling Considering Random Job Arrivals and Machine Breakdowns [PDF]

open access: goldProcesses
Dueto uncertainties in real-world production, dynamic factors have become increasingly critical in the research of distributed flexible job shop scheduling problems.
Chun Wang   +3 more
openalex   +2 more sources

Improved Performance Analysis of PV Array Model Using Flower Pollination Algorithm and Gray Wolf Optimization Algorithm [PDF]

open access: hybridMathematical Problems in Engineering, 2022
The efficiency of a photovoltaic (PV) system under partial shading conditions (PSCs) is primarily determined by how the PV panels are connected to the load. Various PV system architectures have been developed to improve power processing capability and thus power conversion efficiency.
J. Jayaudhaya   +3 more
openalex   +2 more sources

Optimization of Synchronous Control Parameters Based on Improved Sinusoidal Gray Wolf Algorithm

open access: yesProcesses
High precision control is often accompanied by many control parameters, which are interrelated and difficult to adjust directly. It is difficult to convert the system control effect directly into mathematical expression, so it is difficult to optimize it
Taoyu Wang, Shiyan Sun, Bo She
semanticscholar   +2 more sources

Optimization of rotor-side controller parameters in doubly fed induction generators based on an improved NSGA-II. [PDF]

open access: yesPLoS ONE
Herein, an advanced control strategy to enhance the operational stability of wind turbine generators during grid-voltage surges is presented. In particular, a multiobjective optimization framework based on an improved nondominated sorting genetic ...
Yanling Lv, Xiang Zhao, Zexin Mou
doaj   +2 more sources

Application of Gray Wolf Optimization Algorithm on Synchronous Processing of Sample Equalization and Feature Selection in Credit Evaluation [PDF]

open access: yesJisuanji kexue, 2022
With the rapid development of Internet finance industry, traditional credit risk evaluation is facing challenges in the face of massive data.Due to the unbalanced sample categories and high feature redundancy in credit evaluation, it has become the key ...
CHU An-qi, DING Zhi-jun
doaj   +1 more source

Application research of γ energy spectrum analysis based on improved grey wolf algorithm

open access: yesHe jishu, 2021
BackgroundTraditional γ energy spectrum analysis methods have the disadvantages of long time, many steps and low accuracy.PurposeThis study aims to propose an improved gray wolf algorithm based on qualitative analysis to obtain nuclide information faster
LIU Wei   +4 more
doaj   +1 more source

An Improved Gray Wolf Optimization Algorithm for Solving Disassembly Sequencing Problems

open access: diamondJournal of Physics: Conference Series, 2021
Abstract In recent years, the utilization of end-of-life products which may cause serious environmental pollution has received much attention from both industrial and academia. The recycling and reusing of waste products have an essential step that is disassembly.
Laide Guo   +4 more
openalex   +2 more sources

Flexible Job-shop Scheduling Optimization based on Improved Gray Wolf Algorithm

open access: diamondFrontiers in Computing and Intelligent Systems
This article proposed an improved gray wolf optimizer to deal with the flexible job-shop scheduling problem. By using a random key for coding job positions and adopting a local search strategy, we achieve group reconstruction and updating with the help of three good fitness values of the population, hence continuously searching for the optimal solution.
Minghong Xu
openalex   +3 more sources

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