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在“Elsevier电子期刊”中，命中：7,508条，耗时：0.0529769 秒

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1.Incorporating Markov decision process on genetic algorithms to formulate trading strategies for stock markets

作者：Ying-Hua Chang ; ^{yhchang@mail.tku.edu.tw} ; Ming-Sheng Lee ^{kevin.lee@mail.im.tku.edu.tw}

关键词：Markov decision processes ; Genetic algorithms ; Stock selection ; Market timing ; Capital allocation ; Portfolio optimization

刊名：Applied Soft Computing

出版年：2017

2.Efficient mechanical design and limit cycle stability for a humanoid robot: An application of genetic algorithms

作者：Rafael Stanley Nú ; ñ ; ez Cruz ; ^{rnunez@ctrl.cinvestav.mx}Author Vitae ; Juan Manuel Ibarra Zannatha ^{jibarra@cinvestav.mx}Author Vitae

关键词：Optimal Design ; Passive Dynamic Walkers ; Genetic Algorithms ; Optimal Feedback Control

刊名：Neurocomputing

出版年：2017

3.Genetic algorithms to balanced tree structures in graphs

作者：Riham Moharam ^{riham.moharam@science.suez.edu.eg} ; Ehab Morsy ; ^{ehabmorsy@science.suez.edu.eg}

关键词：Minimum Spanning Tree ; Shortest Path Tree ; Tree Spanner ; Balanced Spanning Tree ; Minimum Maximum Stretch Spanning Tree ; Genetic Algorithms

刊名：Swarm and Evolutionary Computation

出版年：2017

4.An integrated approach to optimize moving average rules in the EUA futures market based on particle swarm optimization and genetic algorithms

作者：Xiaojia Liu^a ; ^b ; Haizhong An^a ; ^b ; ^c ; ^{ahz369@163.com} ; Lijun Wang^a ; ^b ; Xiaoliang Jia^a ; ^b

关键词：Carbon emission trading ; EUA futures market ; Moving average trading rules ; Particle swarm optimization ; Genetic algorithms

刊名：Applied Energy

出版年：2017

5.Three-dimensional microscope vision system based on micro laser line scanning and adaptive genetic algorithms

作者：J. Apolinar ; Muñ ; oz Rodrí ; guez ^{munoza@foton.cio.mx" class="auth_mail" title="E-mail the corresponding author}

关键词：Microscope vision system ; Micro laser line scanning ; Adaptive genetic algorithms

刊名：Optics Communications

出版年：2017

6.Optimization of linear zigzag insert metastructures for low-frequency vibration attenuation using genetic algorithms

作者：Osama Abdeljaber^a ; ^{o.abdeljaber@qu.edu.qa" class="auth_mail" title="E-mail the corresponding author} ; Onur Avci^a ; ^{onur.avci@qu.edu.qa" class="auth_mail" title="E-mail the corresponding author} ; Serkan Kiranyaz^b ; ^{mkiranyaz@qu.edu.qa" class="auth_mail" title="E-mail the corresponding author} ; Daniel J. Inman^c ; ^{daninman@umich.edu" class="auth_mail" title="E-mail the corresponding author}

关键词：Metastructures ; Zigzag insert metastructures ; Vibration attenuation ; Genetic algorithms

刊名：Mechanical Systems and Signal Processing

出版年：2017

7.Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions

作者：Celestino Ordó ; ñ ; ez Galá ; n^a ; Fernando Sá ; nchez Lasheras^b ; ^{sanchezfernando@uniovi.es" class="auth_mail" title="E-mail the corresponding author} ; Francisco Javier de Cos Juez^a ; Antonio Bernardo Sá ; nchez^b

关键词：Imputation method ; Item response theory ; Genetic algorithms ; Multivariate imputation by chained equations (MICE) ; Missing data

刊名：Journal of Computational and Applied Mathematics

出版年：2017

8.Effects of different chromosome representations in developing genetic algorithms to solve DFJS scheduling problems

作者：Muh-Cherng Wu ; ^{mcwu@mail.nctu.edu.tw} ; Chi-Shiuan Lin ^{pleasantbaby@yahoo.com.tw} ; Chia-Hui Lin ; Chen-Fu Chen

关键词：Scheduling ; Distributed flexible job shop ; Genetic algorithm ; Chromosome representation

刊名：Computers & Operations Research

出版年：2017

9.InterVar: Clinical Interpretation of Genetic Variants by the 2015 ACMG-AMP Guidelines

作者：Quan Li¹ ; ⁴ ; Kai Wang¹ ; ² ; ³ ; ^{kw2701@cumc.columbia.edu}

关键词：InterVar ; variant annotation ; variant interpretation ; clinical interpretation ; ClinVar ; genetic diagnosis ; ACMG ; ANNOVAR

刊名：The American Journal of Human Genetics

出版年：2017

10.Swarm Intelligence and Evolutionary Algorithms: Performance versus speed

作者：Adam P. Piotrowski^a ; ^{adampp@igf.edu.pl} ; Maciej J. Napiorkowski^b ; ^{maciejnap@gmail.com} ; Jaroslaw J. Napiorkowski^a ; ^{jnn@igf.edu.pl} ; Pawel M. Rowinski^a

关键词：Convergence speed ; Genetic Algorithm ; Differential Evolution ; Particle Swarm Optimization ; Biogeography-based optimization ; Direct Search method

刊名：Information Sciences

出版年：2017

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