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检索条件"主题词=Swarm intelligence Algorithms"
94 条 记 录,以下是61-70 订阅
排序:
Improved teaching-learning based optimization algorithm using Lyapunov stability analysis
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JOURNAL OF AMBIENT intelligence AND HUMANIZED COMPUTING 2020年 第7期13卷 3609-3618页
作者: Farivar, Faezeh Shoorehdeli, Mahdi Aliyari Manthouri, Mohammad Islamic Azad Univ Dept Mechatron & Comp Engn Sci & Res Branch Tehran Iran KN Toosi Univ Technol Dept Mechatron Fac Elect Engn Tehran Iran Shahed Univ Elect & Elect Engn Dept Tehran Iran
Teaching-learning-based optimization (TLBO) algorithms is one of the swarm-based optimization search algorithms. It develops based on the teaching-learning procedures at a classroom to solve multi-dimensional and nonl... 详细信息
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Optimal Placement of Near Ground VHF/UHF Radio Communication Network as a Multi Objective Problem
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WIRELESS PERSONAL COMMUNICATIONS 2020年 第3期110卷 1169-1197页
作者: Shehadeh, Hisham A. Idris, Mohd. Yamani Idna Ahmedy, Ismail Hassen, Hani Ragab Univ Malaya Fac Comp Sci & Informat Technol Dept Comp Syst & Technol Kuala Lumpur Malaysia Heriot Watt Univ Sch Math & Comp Sci Edinburgh Midlothian Scotland
Ultra high frequency (UHF) and very high frequency (VHF) bands are widely used with near ground applications especially for communication purposes. However, due to the limited antenna height, the VHF/UHF signals are v... 详细信息
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A novel explanatory hybrid artificial bee colony algorithm for numerical function optimization
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JOURNAL OF SUPERCOMPUTING 2020年 第12期76卷 9330-9354页
作者: Jarrah, Muath Ibrahim Jaya, A. S. M. Alqattan, Zakaria N. Azam, Mohd Asyadi Abdullah, Rosni Jarrah, Hazim Abu-Khadrah, Ahmed Ismail Univ Tekn Malaysia Melaka Fac Informat & Commun Technol Durian Tunggal 76100 Melaka Malaysia Univ Sains Malaysia Sch Comp Sci Natl Adv IPv6 Ctr Gelugor 11800 Penang Malaysia Univ Tekn Malaysia Melaka Fac Mfg Engn Durian Tunggal 76100 Melaka Malaysia Auckland Univ Technol Dept Elect & Elect Engn Auckland New Zealand Saudi Elect Univ Coll Comp & Informat Riyadh Saudi Arabia
Over the past few decades, there has been a surge of interest of using swarm intelligence (SI) in computer-aided optimization. SI algorithms have demonstrated their efficacy in solving various types of real-world opti... 详细信息
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A Review on Computational intelligence Techniques in Cloud and Edge Computing
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IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL intelligence 2020年 第6期4卷 742-763页
作者: Asim, Muhammad Wang, Yong Wang, Kezhi Huang, Pei-Qiu Cent South Univ Sch Comp Sci & Engn Changsha 410083 Peoples R China Cent South Univ Sch Automat Changsha 410083 Peoples R China Northumbria Univ Dept Comp & Informat Sci Newcastle Upon Tyne NE1 8ST Tyne & Wear England
Cloud computing (CC) is a centralized computing paradigm that accumulates resources centrally and provides these resources to users through Internet. Although CC holds a large number of resources, it may not be accept... 详细信息
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R-GWO: Representative-based grey wolf optimizer for solving engineering problems
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APPLIED SOFT COMPUTING 2021年 106卷 107328-107328页
作者: Banaie-Dezfouli, Mahdis Nadimi-Shahraki, Mohammad H. Beheshti, Zahra Islamic Azad Univ Najafabad Branch Fac Comp Engn Najafabad Iran Islamic Azad Univ Najafabad Branch Big Data Res Ctr Najafabad Iran
The grey wolf optimizer (GWO) is a well-known nature-inspired algorithm, which shows a sufficient performance for solving various optimization problems. However, it suffers from low exploration and population diversit... 详细信息
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Chameleon swarm Algorithm: A bio-inspired optimizer for solving engineering design problems
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EXPERT SYSTEMS WITH APPLICATIONS 2021年 174卷 114685-114685页
作者: Braik, Malik Shehadeh Al Balqa Appl Univ Dept Comp Sci Al Salt Jordan
This paper presents a novel meta-heuristic algorithm named Chameleon swarm Algorithm (CSA) for solving global numerical optimization problems. The base inspiration for CSA is the dynamic behavior of chameleons when na... 详细信息
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Transformation operators based grey wolf optimizer for travelling salesman problem
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JOURNAL OF COMPUTATIONAL SCIENCE 2021年 55卷
作者: Panwar, Karuna Deep, Kusum Indian Inst Technol Roorkee Dept Math Roorkee Uttar Pradesh India
In the field of swarm intelligence, the Grey Wolf Optimizer (GWO) is a popular algorithm based on leadership hierarchy. Primarily, GWO was proposed to solve continuous optimization problem. However, in recent years, G... 详细信息
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The Digital Twin Realization of an Ejector for Multiphase Flows
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ENERGIES 2021年 第17期14卷 5533页
作者: Mazzuto, Giovanni Ciarapica, Filippo Emanuele Ortenzi, Marco Bevilacqua, Maurizio Univ Politecn Marche Fac Engn Dipartimento Ingn Ind & Sci Matemat I-60131 Ancona Italy
Despite the extensive use of ejectors in the process industry, it is complex to predict suction and motive fluids mixture characteristics, especially with multiphase flows, even if, in most cases, mixture pressure con... 详细信息
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Integrating Grasshopper Optimization Algorithm with Local Search for Solving Data Clustering Problems
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INTERNATIONAL JOURNAL OF COMPUTATIONAL intelligence SYSTEMS 2021年 第1期14卷 783-793页
作者: El-Shorbagy, M. A. Ayoub, A. Y. Prince Sattam Bin Abdulaziz Univ Coll Sci & Humanities Al Kharj Dept Math Al Kharj 11942 Saudi Arabia Menoufia Univ Fac Engn Shebin Kom Dept Basic Engn Sci Shibin Al Kawm Egypt
This paper proposes a hybrid approach for solving data clustering problems. This hybrid approach used one of the swarm intelligence algorithms (SIAs): grasshopper optimization algorithm (GOA) due to its robustness and... 详细信息
来源: 评论
MIMO Antenna Design for 5G Communication Systems Using Salp swarm Algorithm
MIMO Antenna Design for 5G Communication Systems Using Salp ...
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International Workshop on Antenna Technology (iWAT)
作者: Boursianis, Achilles D. Goudos, Sotirios K. Yioultsis, Traianos, V Siakavara, Katherine Rocca, Paolo Aristotle Univ Thessaloniki ELEDIA Res Ctr ELEDIA AUTH Dept Phys Thessaloniki Greece Aristotle Univ Thessaloniki Dept Elect & Comp Engn Thessaloniki Greece Aristotle Univ Thessaloniki Dept Phys Thessaloniki Greece Univ Trento ELEDIA UniTN DISI Trento Italy
Multiple Input Multiple Output (MIMO) antennas will be a part of every new user device in 5G networks. In this paper, we design a MIMO antenna for 5G networks using a nature-inspired algorithm, namely the Salp swarm A... 详细信息
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