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检索条件"主题词=Gravitational Search algorithm"
833 条 记 录,以下是61-70 订阅
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A cluster based routing for maximizing the lifetime of underwater wireless sensor network using gravitational search algorithm
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RESULTS IN ENGINEERING 2025年 25卷
作者: Shyamsundar, R. Harshavarthan, M. Thangavelu, Shankar Vellore Inst Technol Sch Elect Engn Vellore India
Underwater Wireless Sensor Networks (UWSN) is a type of Wireless Sensor Network that branches from Ad Hoc networks. This type of network is designed to investigate and explore underwater environments and oceans. The U... 详细信息
来源: 评论
GSA-LA: gravitational search algorithm based on learning automata
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JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE 2021年 第1期33卷 109-125页
作者: Alirezanejad, Mehdi Enayatifar, Rasul Motameni, Homayun Nematzadeh, Hossein Islamic Azad Univ Sari Branch Dept Comp Engn Sari Iran Islamic Azad Univ Firoozkooh Branch Dept Comp Engn Firoozkooh Iran
Regardless of the performance of gravitational search algorithm (GSA), it is nearly incapable of avoiding local optima in high-dimension problems. To improve the accuracy of GSA, it is necessary to fine tune its param... 详细信息
来源: 评论
An improved multi-leader comprehensive learning particle swarm optimisation based on gravitational search algorithm
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CONNECTION SCIENCE 2021年 第4期33卷 803-834页
作者: Amponsah, Alfred Adutwum Han, Fei Osei-Kwakye, Jeremiah Bonah, Ernest Ling, Qing-Hua Jiangsu Univ Sch Comp Sci & Commun Engn Zhenjiang 212013 Jiangsu Peoples R China Jiangsu Key Lab Secur Technol Ind Cyberspace Zhenjiang 212013 Jiangsu Peoples R China Jiangsu Univ Sci & Technol Sch Comp Sci Zhenjiang Jiangsu Peoples R China Garden City Univ Coll Fac Appl Sci Kenyase Kumasi Ghana
Multi-leader comprehensive learning particle swarm optimiser possesses strong exploitation ability, by randomly selecting and assigning best-ranked particles as leaders during optimisation. However, it lacks the abili... 详细信息
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A nonlinear model predictive controller based on the gravitational search algorithm
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OPTIMAL CONTROL APPLICATIONS & METHODS 2021年 第6期42卷 1734-1761页
作者: Nobahari, Hadi Alizad, Meysam Nasrollahi, Saeed Sharif Univ Technol Dept Aerosp Engn Tehran Iran
A heuristic nonlinear model predictive controller is proposed, based on the gravitational search algorithm. The proposed method models a constrained nonlinear model predictive control problem in the form of a dynamic ... 详细信息
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Application of constriction coefficient-based particle swarm optimisation and gravitational search algorithm for solving practical engineering design problems
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INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 2021年 第4期17卷 246-259页
作者: Rather, Sajad Ahmad Bala, P. Shanthi Pondicherry Univ Sch Engn & Technol Dept Comp Sci Pondicherry 605014 India
The constriction coefficient-based particle swarm optimisation and gravitational search algorithm (CPSOGSA) is a heuristic optimisation technique. It uses the diversification capability of the GSA and the convergence ... 详细信息
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Impact Behaviour Modelling of Magnetorheological Elastomer Using a Non-Parametric Polynomial Model Optimized with gravitational search algorithm
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STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING 2023年 第11-12期69卷 471-482页
作者: Zubir, Amrina Rasyada Hudha, Khisbullah Kadir, Zulkiffli Abd. Amer, Noor Hafizah Natl Def Univ Malaysia Dept Mech Engn Fac Engn Kuala Lumpur Malaysia
This paper presents an approach to model the impact behaviour of a dual-acting magnetorheological elastomer (MRE) damper using 4th order polynomial functions optimized with a gravitational search algorithm. MRE is a t... 详细信息
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An IoT-enabled Healthcare Framework For Wireless Body Region Networks Using The gravitational search algorithm
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淡江理工学刊 2024年 第3期27卷 2169-2178页
作者: Peng Zhang Man Zhao
The smart city idea has gained much popularity in recent years because of its potential to enhance urban people's quality of life. The idea encompasses a wide range of fields, including smart community, smart tran... 详细信息
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An Intelligent Multi-robot Path Planning in a Dynamic Environment Using Improved gravitational search algorithm
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International Journal of Automation and computing 2021年 第6期18卷 1032-1044页
作者: P.K.Das H.S.Behera P.K.Jena B.K.Panigrahi Department of Computer Sceime and Engineering and Information TechnologyVeer Surendra Sai University of TechnologyBurlaOdishaIndia Departmet of Mechanical Engineering Veer Surendra Sai University of TechnologyBurlaOdishaIndia Departmet of Electrical Engineering Indian Institute of TechnologyDelhiIndia
This paper proposes a new methodology to optimize trajectory of the path for multi-robots using improved gravitational search algorithm(IGSA) in clutter environment. Classical GSA has been improved in this paper based... 详细信息
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Optimizing the parameters of hybrid active power filters through a comprehensive and dynamic multi-swarm gravitational search algorithm
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2023年 第PartC期123卷
作者: Chauhan, Dikshit Yadav, Anupam Dr BR Ambedkar Natl Inst Technol Jalandhar Dept Math Jalandhar 144011 Punjab India
This paper introduces a dynamic comprehensive multi-swarm gravitational search algorithm with non-uniform mutation (cdGSA-2m) for optimizing hybrid active power filter (HAPF) parameters. The cdGSA-2m algorithm divides... 详细信息
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An antigravity-based fuzzy gravitational search algorithm for economic dispatch problems
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APPLIED SOFT COMPUTING 2023年 145卷
作者: Yu, Xianrui Zhao, Qiuhong Wang, Tongyu Li, Yuanrui Beihang Univ Sch Econ & Management Beijing 100191 Peoples R China Beijing Key Lab Emergency Support Simulat Technol Beijing 100191 Peoples R China Beijing Int Sci & Technol Cooperat Base City Safet Beijing 100191 Peoples R China Ocean Univ China Sch Econ Qingdao 266100 Peoples R China
This paper presents an antigravity-based fuzzy gravitational search algorithm (AFGSA) to solve the economic dispatch problem (EDP) with various constraints. Based on an antigravity mechanism combined with an adaptive ... 详细信息
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