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检索条件"主题词=evolutionary Algorithms"
12066 条 记 录,以下是4921-4930 订阅
排序:
Analysis of migration models of biogeography-based optimization using Markov theory
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2011年 第6期24卷 1052-1060页
作者: Ma, Haiping Simon, Dan Shaoxing Univ Dept Elect Engn Shaoxing Zhejiang Peoples R China Cleveland State Univ Dept Elect & Comp Engn Cleveland OH 44115 USA
Biogeography-based optimization (BBO) is a new evolutionary algorithm inspired by biogeography, which involves the study of the migration of biological species between habitats. Previous work has shown that various mi... 详细信息
来源: 评论
An enhanced multi-operator differential evolution algorithm for tackling knapsack optimization problem
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NEURAL COMPUTING & APPLICATIONS 2023年 第18期35卷 13359-13386页
作者: Sallam, Karam M. Abohany, Amr A. Rizk-Allahi, Rizk M. Univ Canberra Fac Sci & Technol Sch IT & Syst Bruce ACT 2601 Australia Kafrelsheikh Univ Fac Comp & Informat Kafr El Shaikh Egypt Menoufia Univ Fac Engn Dept Basic Engn Sci Shibin Al Kawm 32511 Egypt
The knapsack problem (KP) is a discrete combinatorial optimization problem that has different utilities in many fields. It is described as a non-polynomial time (NP) problem and has several applications in many fields... 详细信息
来源: 评论
Mining Markov chain transition matrix from wind speed time series data
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EXPERT SYSTEMS WITH APPLICATIONS 2011年 第8期38卷 10229-10239页
作者: Song, Zhe Geng, Xiulin Kusiak, Andrew Xu, Chang Nanjing Univ Sch Business Nanjing 210093 Jiangsu Peoples R China Univ Iowa Dept Mech & Ind Engn Iowa City IA 52242 USA Hohai Univ Nanjing 210098 Jiangsu Peoples R China
Extracting important statistical patterns from wind speed time series at different time scales is of interest to wind energy industry in terms of wind turbine optimal control, wind energy dispatch/scheduling, wind ene... 详细信息
来源: 评论
Multi-objective optimal design based kineto-elastostatic performance for the DELTA parallel mechanism
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ROBOTICA 2016年 第2期34卷 258-273页
作者: Bounab, Belkacem Ecole Mil Polytech Lab Mecan Struct Algiers 16111 Algeria
This paper addresses the dimensional-synthesis-based kineto-elastostatic performance optimization of the DELTA parallel mechanism. For the manipulator studied here, the main consideration for the optimization criteria... 详细信息
来源: 评论
Design of a fuzzy controller in mobile robotics using genetic algorithms
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APPLIED SOFT COMPUTING 2007年 第2期7卷 540-546页
作者: Mucientes, M. Moreno, D. L. Bugarin, A. Barro, S. Univ Santiago de Compostela Dept Elect & Comp Sci Santiago De Compostela 15782 Spain
The design of fuzzy controllers for the implementation of behaviors in mobile robotics is a complex and highly time-consuming task. The use of machine learning techniques, such as evolutionary algorithms or artificial... 详细信息
来源: 评论
Effectiveness Assessment of the Search-Based Statistical Structural Testing
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Computers, Materials & Continua 2022年 第2期70卷 2191-2207页
作者: Yang Shi Xiaoyu Song Marek Perkowski Fu Li Department of Electrical and Computer Engineering Portland State UniversityPortland97201USA
Search-based statistical structural testing(SBSST)is a promising technique that uses automated search to construct input distributions for statistical structural *** has been proved that a simple search algorithm,for ... 详细信息
来源: 评论
Optimal Spectrum Allocation of Cognitive Radio Network Under Underlay Model
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WIRELESS PERSONAL COMMUNICATIONS 2017年 第1期97卷 469-481页
作者: Wu, Run-ze Gao, Li-yuan Tang, Liang-rui Zhu, Jia-jia North China Elect Power Univ State Key Lab Alternate Elect Power Syst Renewabl Beijing 102206 Peoples R China
Cognitive radio has been regarded as a promising technology to improve spectrum utilization significantly. Many studies have discussed underlay spectrum sharing and power control, but issues such as the interference o... 详细信息
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Check-in allocation improvements through the use of a simulation-optimization approach
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TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE 2015年 77卷 320-335页
作者: Mota, Miguel Mujica Amsterdam Univ Appl Sci Aviat Acad NL-1097 DZ Amsterdam Netherlands
The aeronautical industry is still under expansion in spite of the problems it is facing due to the increase in oil prices, limited capacity, and novel regulations. The expansion trends translate into problems at diff... 详细信息
来源: 评论
Time-varying hierarchical chains of salps with random weight networks for feature selection
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EXPERT SYSTEMS WITH APPLICATIONS 2020年 140卷 112898-000页
作者: Faris, Hossam Heidari, Ali Asghar Al-Zoubi, Ala' M. Mafarja, Majdi Aljarah, Ibrahim Eshtay, Mohammed Mirjalili, Seyedali Univ Jordan King Abdullah II Sch Informat Technol Amman Jordan Univ Tehran Sch Surveying & Geospatial Engn Tehran Iran Birzeit Univ Dept Comp Sci Birzeit Palestine Torrens Univ Australia Brisbane Qld 4006 Australia Natl Univ Singapore Sch Comp Dept Comp Sci Singapore Singapore
Feature selection (FS) is considered as one of the most common and challenging tasks in Machine Learning. FS can be considered as an optimization problem that requires an efficient optimization algorithm to find its o... 详细信息
来源: 评论
A Hybrid Harmony search and Simulated Annealing algorithm for continuous optimization
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INFORMATION SCIENCES 2018年 450卷 246-266页
作者: Assad, Assif Deep, Kusum Indian Inst Technol Roorkee Dept Math Roorkee 247667 Uttar Pradesh India
Harmony search is a powerful metaheuristic algorithm with excellent exploitation capabilities but suffers a very serious limitation of premature convergence if one or more initially generated solutions/harmonies are i... 详细信息
来源: 评论