Results 11 to 20 of about 2,020,079 (204)

Clustering-Based Monarch Butterfly Optimization for Constrained Optimization [PDF]

International Journal of Computational Intelligence Systems, 2020
Monarch butterfly optimization (MBO) algorithm is a newly-developed metaheuristic approach that has shown striking performance on several benchmark problems.
Sibo Huang, Han Cui, Xiaohui Wei, Zhaoquan Cai   +3 more
doaj   +3 more sources

Arrhythmia classification based on improved monarch butterfly optimization algorithm

Journal of King Saud University: Computer and Information Sciences, 2022
Heart attack is a major cause of mortality all over the world also heart-related diseases have increased the expenditure of health care. Electrocardiogram (ECG) is one of the simple ways to diagnose heart diseases.
Ashish Nainwal, Yatindra Kumar, Bhola Jha   +2 more
doaj   +2 more sources

Application of Population-Based Meta-Heuristic Algorithms for Robust Initialization in Mechanistic Pharmacometric Modeling. [PDF]

CPT Pharmacometrics Syst Pharmacol
ABSTRACT Mechanistic PK/PD models represent complex biological systems in which model parameters are in nonlinear, multidimensional parameter spaces and often require robust optimization informed by experimental data, making parameter estimation a critical yet challenging aspect of pharmacometric analysis.
Lee D, Lin CW.
europepmc   +2 more sources

An improved monarch butterfly spectrum allocation algorithm for multi-source data stream in complex electromagnetic environment

EURASIP Journal on Advances in Signal Processing, 2023
In the era of the Internet of Everything, various wireless devices and sensors use spectrum, which is a precious and non-renewable resource, to communication.
Yuchao Liu, Chenggang Cao, Yu Han
doaj   +1 more source

Improved clustering algorithm for personal privacy and security protection of elderly consumers

International Journal for Simulation and Multidisciplinary Design Optimization, 2023
With the advancement of technology, there is an increasing emphasis on the personal privacy and security of elderly consumers. This article focuses on the personal privacy and security protection of elderly consumers. Based on the K-means (KM) clustering
Jiang Pengfei
doaj   +1 more source

Robust approach for optimized path selection in Monarch Butterfly Optimization [PDF]

Journal of University of Shanghai for Science and Technology, 2021
Nature Inspired Computing or (NIC) strives to develop new computing technologies by observing how nature can inspired to solve complex problems under various environmental conditions. This has produced unconventional research in new fields such as neural networks, swarm intelligence, evolutionary computing, and artificial immune systems. NIC technology
Bhanu Sharma, Amar Singh
openaire   +1 more source

Nature-inspired optimization algorithms in knapsack problem: A review [PDF]

المجلة العراقية للعلوم الاحصائية, 2019
Meta-heuristic algorithms have become an arising field of research in recent years. Some of these algorithms have proved to be efficient in solving combinatorial optimization problems, particularly knapsack problem.
Ghalya Tawfeeq Basheer, Zakariya Algamal
doaj   +1 more source

Application of Improved Monarch Butterfly Optimization for Parameters’ Optimization

Mathematical Problems in Engineering, 2023
The reasonable selection of cutting parameters in the machining process is of great significance to improve productivity, reduce production costs, and improve the quality of parts. However, due to the complexity of cutting parameter model optimization, most factories currently use experience or refer to relevant manuals to select the value of cutting ...
Shixin Huang, Kedao Zhang, Hongmei Li, Xiangjian Chen   +3 more
openaire   +1 more source

Design and implementation of GCMBO control strategy for grid integrated SPV-DSTATCOM

e-Prime: Advances in Electrical Engineering, Electronics and Energy, 2023
In the modern world, there is a large need for both the conservation of electrical power and the improvement of its use in a variety of applications.
Swetha Monica, Alok Kumar Singh, D. Vijaya Kumar   +2 more
doaj   +1 more source

Power Allocation Intelligent Optimization for Mobile NOMA Communication System

Journal of Advanced Transportation, 2022
Non-orthogonal multiple access (NOMA) technology can greatly improve user access and spectral efficiency. This paper considers the power allocation optimization problem of a two-user mobile NOMA communication system.
Xiaobin Fu, Zhen Tang, Pingping Xiao
doaj   +1 more source