Fine-tuning digital FIR filters with gray wolf optimization for peak performance
The design of optimum filters constitutes a fundamental aspect within the realm of signal processing applications. The process entails the calculation of ideal coefficients for a filter in order to get a passband with a flat response and an unlimited ...
Anand R +2 more
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Enhancing Analogy-based Software Cost Estimation using Gray Wolf Optimization Algorithm
Abstract Human effort is considered one of the most important factors for a better estimation of software development costs. Therefore, the cost of software product development is usually seen based on the amount of effort required for its development. Numerous methods and paradigms are provided for software project estimation.
Taghi Javdani Gandomani +2 more
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Cultural heritage digitization is of great significance for the protection, restoration, and rejuvenation of cultural relics. In particular, the investigation of fading mechanisms is essential for virtual restoration to accurately recreate the original ...
Zhen Liu, An-Ran Zhao, Si-Lu Liu
doaj +1 more source
For crossed roller bearings, manual assembly has problems such as low efficiency, high cost and large error, a four-degree-of-freedom robotic arm was designed to automatically assemble cross roller bearings.
Hu Jiangtao +3 more
doaj
Flexible Job-shop Scheduling Optimization based on Improved Gray Wolf Algorithm
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.
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An improved grey wolf optimizer with multi-stage differentiation strategies coverage in three-dimensional wireless sensor network. [PDF]
Liu Z, Ou Y, Wang S.
europepmc +1 more source
A Study on the Grip Force of Ski Gloves with Feature Data Fusion Based on GWO-BPNN Deep Learning. [PDF]
Ma X, Gao X, Zhang Y, Gao Y.
europepmc +1 more source
Performance analysis and comparison of gray wolf optimization and Krill herd optimization algorithm
Emine Baş, Ayşegül İhsan
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A multiple filter-wrapper feature selection algorithm based on process optimization mechanism for high-dimensional omics data analysis. [PDF]
Shi Y, Zheng Y, Bai X.
europepmc +1 more source
A novel framework using particle swarm optimization and long short-term memory networks for stock market forcasting. [PDF]
Safari MH, Hosseini S.
europepmc +1 more source

