Results 61 to 70 of about 30,520 (198)
Research on Solving Flexible Job Shop Scheduling Problem Based on Improved GWO Algorithm SS-GWO
Neural Processing LettersAbstractAs an important branch of production scheduling, the flexible job shop scheduling problem (FJSP) is a typical NP-hard problem. Researchers have adopted many intelligent algorithms to solve the FJSP problem, nonetheless, the task of dynamically adapting its essential parameters during the computational process is a significant challenge ...
Kai Zhou +5 more
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Geomatics, Natural Hazards & Risk, 2019 Meta-heuristic algorithms become common approaches in finding sufficiently good solutions for optimization problems. This study proposed and compared three novel hybrid methods, namely Biogeography-based Optimization (BBO), Gravitational Search Algorithm
Quang-Thanh Bui
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International Journal of Applied Linguistics, EarlyView.ABSTRACT Only 5% of the Haitian population is fully bilingual in French and Kreyòl. On the contrary, 95% of the population is monolingual in the native language, Kreyòl. The purpose of this research is to examine the attitudes of Haitian high school students toward Kreyòl and French, particularly as official languages, and investigate the effects of ...
Gerdine Michel Ulysse
wiley +1 more source
Organizational Soundscapes and the Sonicity of Voices: The Power of the ‘Sounds’ that Carry ‘Words’
Journal of Management Studies, EarlyView.Abstract Organizations are soundscapes – they resonate with sounds and particularly the sounds of voices. Somehow however voice sonics, that is the sounds of voices and not the words carried on those sounds, have escaped attention in management studies. This absence of analysis is peculiar given voice sonics' undoubted influence on management (they may
Nancy Harding, Jackie Ford
wiley +1 more source
Advances in Civil Engineering, 2021 This paper proposes a novel grey wolf optimization-extreme learning machine model, namely, the GWO-ELM model, to train and predict the ground subsidence by combining the extreme learning machine with the grey wolf optimization algorithm.
Qiao Shi-fan +6 more
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Liver Lesions Diagnosis Using Gwo-Anfis Framework
International Journal of Engineering and Advanced Technology, 2019 In this paper, liver abnormality is detected using an improved classification model that consists of series of process. The study reveals the liver condition to be normal or abnormal using the proposed system. The study uses both structural and statistical analysis, where both these analysis is combined with the process of classification.
M. Babu*, Dr.G. Nanthakumar
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Development and standardization of a protocol for sperm cryopreservation of two important commercial oyster species [PDF]
, 2015 Dissertação de mestrado, Aquacultura e Pescas, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015Aquaculture activities have a huge contribution for the world food production and their development is extremely necessary to answer to the ...
Melo, Francisca Félix de Azeredo Pinto e
core
Engineering 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
HADA: A Hybrid Anomaly Detection Approach Using Unsupervised Machine Learning
Engineering Reports, Volume 8, Issue 3, March 2026.Overview of HADA, an unsupervised fraud detection pipeline that preprocesses and scales transaction data, applies PCA for dimensionality reduction, scores anomalies using Isolation Forest, selects anomalous transactions via thresholding, and clusters the selected anomalies using Agglomerative Hierarchical Clustering (AHC) to produce interpretable ...
Francis Thiong'o +3 more
wiley +1 more source
Image Denoising with Modified Grey Wolf Optimizer
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2018 In this study, image denoising hasbeen realized with with the one of the recent Nature-Inspired optimizationalgorithms, Grey Wolf Optimizer(GWO). GWO is one of the recent most studiedcontinous optimization algorithm which performs better than the ...
Pakize Erdoğmuş, Hüseyin Avni Ardaç
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