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检索条件"主题词=Prey predator algorithm"
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prey predator algorithm with adaptive step length
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INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 2016年 第4期8卷 195-204页
作者: Tilahun, Surafel Luleseged Ngnotchouye, Jean Medard T. Univ KwaZulu Natal Sch Math Stat & Comp Sci Private Bag X01 ZA-3209 Pietermaritzburg South Africa
prey predator algorithm is a swarm-based metaheuristic algorithm inspired by the interaction between a predator and its prey. The worst performing solution from the solution set is called a predator, the best preformi... 详细信息
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Prediction of thermal conductivities of polyacrylonitrile electrospun nanocomposite fibers using artificial neural network and prey predator algorithm
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JOURNAL OF KING SAUD UNIVERSITY SCIENCE 2019年 第4期31卷 618-627页
作者: Hamadneh, Nawaf N. Khan, Waseem S. Khan, Waqar A. Saudi Elect Univ Coll Sci & Theoret Studies Dept Basic Sci Riyadh 11673 Saudi Arabia Majmaah Univ Coll Engn Dept Mech & Ind Engn POB 66 Majmaah 11952 Saudi Arabia
In this study, artificial neural networks were employed to predict thermal conductivity of polyacrylonitrile (PAN) electrospun nanocomposite fibers embedded with multiwalled carbon nanotubes (MWCNTs) and Nickel Zinc f... 详细信息
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On the Convergence of prey predator algorithm
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International Journal of Applied and Computational Mathematics 2024年 第2期10卷 1-23页
作者: Tilahun, Surafel Luleseged Department of Mathematics HPC and Big Data Analytics Center of Excellence Addis Ababa Science and Technology University Addis Ababa 16417 Ethiopia
Unlike their success in solving complex and difficult problems, there is a lack of proper mathematical analysis and discussion of metaheuristic algorithms. Even though some researches are done on these aspects, the ga... 详细信息
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prey predator hyperheuristic
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APPLIED SOFT COMPUTING 2017年 59卷 104-114页
作者: Tilahun, Surafel Luleseged Univ Zululand Dept Math Sci Private Bag X1001 ZA-3886 Kwa Dlangezwa South Africa
prey predator algorithm is a population based metaheuristic algorithm inspired by the interaction between a predator and its prey. In the algorithm, a solution with a better performance is called best prey and focuses... 详细信息
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Efficient meta-heuristic mesh adaptation strategies for NURBS upper-bound limit analysis of curved three-dimensional masonry structures
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COMPUTERS & STRUCTURES 2020年 236卷 106271-106271页
作者: Grillanda, Nicola Chiozzi, Andrea Milani, Gabriele Tralli, Antonio Tech Univ Milan Dept Architecture Built Environm & Construct Engn Piazza Leonardo da Vinci 32 I-20133 Milan Italy Univ Ferrara Dept Engn Via Saragat 1 I-44122 Ferrara Italy
We propose a new adaptive NURBS upper-bound limit analysis approach for the assessment of general three-dimensional curved masonry structures, based on different meta-heuristic mesh adaptation schemes. The method, whi... 详细信息
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