Results 41 to 50 of about 178 (113)
Enhanced Rao Algorithms for Optimization of the Structures Considering the Deterministic and Probabilistic Constraints [PDF]
, 2022 Rao algorithms are metaheuristic algorithms that are based on population and do not have metaphors. These algorithms are extremely simple and do not require the use of any parameters that are dependent on the problem.
Kaveh, Ali, Zaerreza, Attaolah
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Innovative Optimization Algorithms for Large-Sized Industrial Scheduling Problems [PDF]
The problem of minimizing total quadratic completion time in flow shops presents a significant challenge in industries such as chemical, metallurgical, and ceramic manufacturing.
Alex Paranahyba Abreu +1 more
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, 2022 การหาค่าที่เหมาะสมภูมิคุ้มกันหมู่ไวรัสโคโรนา (Coronavirus Herd Immunity Optimizer: CHIO) เป็นวิธีเมต้าฮิวริสติกที่พัฒนามาจากแรงบันดาลใจของแนวคิดการมีภูมิคุ้มกันหมู่ ซึ่งจำลองพฤติกรรมทางธรรมชาติของไวรัสโคโรนาที่ทำเกิดโรค วิธี CHIO เลียนแบบกลไกการสร้างภูม ...
Malampong, Kittipong +1 more
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Optimized Machine Learning Approach for Predicting Venous Clinical Severity Scale Outcomes in Yoga Practitioners [PDF]
Journal of Artificial Intelligence and System ModellingYoga is recognized as one of the oldest holistic health systems originating in India and has gained increasing scientific attention for its therapeutic potential in managing chronic vascular and circulatory disorders.
Behrouz Alefy, Faranak Kazemi
doaj +1 more source
Journal of Chemometrics, Volume 39, Issue 3, March 2025.ABSTRACT Spectral data often contains a large number of variables that are highly correlated. Although Partial Least Squares (PLS) regression is specifically designed to handle issues arising from limited sample sizes, its effectiveness may still diminish in extremely small datasets, making it challenging to construct a calibration model with high ...
Esra Pamukçu
wiley +1 more source
IET Quantum Communication, Volume 5, Issue 4, Page 340-348, December 2024.Quantum computing‐based Pyramidal Convolution Shuffle Attention Neural Network optimised with Coronavirus Herd Immunity Optimiser Espoused Fault Detection in Electrical Power Systems. Abstract Quantum computing and deep learning have recently gained popularity across various industries, promising revolutionary advancements.
M. L. Sworna Kokila +2 more
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A Coronavirus Herd Immunity Optimizer Based on Swarm Division
Shanghai Jiaotong Daxue xuebaoAimed at the drawbacks of coronavirus herd immunity optimizer (CHIO), i.e., slow convergence speed and low optimization accuracy, a CHIO based on swarm division (SD-CHIO) is proposed.
LI Boqun, SUN Zhifeng
doaj +1 more source
A Reliable Kidney Stone Detection Method Using Inductive Transfer-Based Ensemble Deep Neural Networks [PDF]
Chronic kidney disease is a significant global health concern, with kidney stones being a major contributing factor to kidneydysfunction. Early and accurate detection is essential to prevent severe complications.
B.S.N. Murthy, Muthabathula Manoj Rajiv
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A comprehensive study on modern optimization techniques for engineering applications [PDF]
Rapid industrialization has fueled the need for effective optimization solutions, which has led to the widespread use of meta-heuristic algorithms. Among the repertoire of over 600, over 300 new methodologies have been developed in the last ten years ...
Selvarajan, S
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Advanced Groundwater Level Forecasting using QSO-based Vision Transformer Model for Sustainable Water Resource Management [PDF]
The reliable predictions of groundwater levels are crucial for long-term management of water resources, and they are an excellent source for human well-being.
B.V. Subba Rao +4 more
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