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Elsevier电子期刊(118)

在“Elsevier电子期刊”中，命中：118条，耗时：0.0229973 秒

在所有数据库中总计命中：182条

1.A fuzzy multi-objective hybrid TLBO-PSO approach to select the associated genes with breast cancer

作者：Saleh Shahbeig ^{s.shahbeig@sutech.ac.ir" class="auth_mail" title="E-mail the corresponding author} ; Mohammad Sadegh Helfroush ; ^{ms_helfroush@sutech.ac.ir" class="auth_mail" title="E-mail the corresponding author} ; Akbar Rahideh ^{rahide@sutech.ac.ir" class="auth_mail" title="E-mail the corresponding author}

关键词：Multi-objective binary optimization ; Hybrid method ; Mutated method ; Fuzzy adaptive adjusting ; Gene selection ; Breast cancer

刊名：Signal Processing

出版年：2017

2.Design of magnetic flywheel control for performance improvement of fuel cells used in vehicles

作者：Chung-Neng Huang ; ^{kosono@mail.nutn.edu.tw} ; Yui-Sung Chen

关键词：Fuel cells ; Hybrid powertrain ; Magnetic flywheel ; Multiple adaptive neuro-fuzzy interference system (MANFIS) ; Particle swarm optimization (PSO) ; Proportional&ndash ; integral&ndash ; derivative (PID) controller

刊名：Energy

出版年：2017

3.Prediction of solubility of solid compounds in supercritical CO₂ using a connectionist smart technique

作者：Mohammad Reza Dadkhah^a ; ^b ; Afshin Tatar^c ; ^{Afshin.Tatar@gmail.com} ; Armin Mohebbi^d ; Ali Barati-Harooni^e ; Adel Najafi-Marghmaleki^e ; Mohammad M. Ghiasi^f ; Amir H. Mohammadi^f ; ^g ; ^h ; ^{a.h.m@irgcp.fr} ; ^{amir_h_mohammadi@yahoo.com} ; Fathollah Pourfayazⁱ

关键词：Supercritical CO2 ; Solubility ; Solid ; Model ; Adaptive Neuro-Fuzzy Inference System (ANFIS) ; Conjugate of hybrid and particle swarm optimization (CHPSO)

刊名：The Journal of Supercritical Fluids

出版年：2017

4.Adaptive coordinated feeder flow control in distribution system with the support of distributed energy resources

作者：V. Ravikumar Pandi^b ; ^c ; A. Al-Hinai^a ; ^b ; ^{hinai@squ.edu.om" class="auth_mail" title="E-mail the corresponding author} ; Ali Feliachi^d

刊名：International Journal of Electrical Power & Energy Systems

出版年：2017

5.Managing multi-line power congestion by using Hybrid Nelder-Mead - Fuzzy Adaptive Particle Swarm Optimization (HNM-FAPSO)

作者：J. Jeslin Drusila Nesamalar ; ^{jeslindrusila@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; P. Venkatesh¹ ; ^{pveee@tce.edu" class="auth_mail" title="E-mail the corresponding author} ; S. Charles Raja² ; ^{charlesrajas@gmail.com" class="auth_mail" title="E-mail the corresponding author}

关键词：Hybrid Nelder&ndash ; Mead &ndash ; Fuzzy Adaptive Particle Swarm Optimization ; Nelder&ndash ; Mead algorithm ; Multi-Line Congestion Management ; Apparent Power Sensitivity Factor ; Optimal generator rescheduling

刊名：Applied Soft Computing

出版年：2016

6.Quality and robustness improvement for real world industrial systems using a fuzzy particle swarm optimization

作者：Sai Ho Ling^a ; ^{Steve.Ling@uts.edu.au" class="auth_mail" title="E-mail the corresponding author} ; Kit Yan Chan^b ; Frank Hung Fat Leung^c ; Frank Jiang^d ; Hung Nguyen^a

关键词：Economic load dispatch ; Email communication services ; Fuzzy logic system ; Particle swarm optimization

刊名：Engineering Applications of Artificial Intelligence

出版年：2016

7.Constructed wetland planning-based bi-level optimization to balance the watershed ecosystem and economic development: A case study at the Chaohu Lake watershed, China

作者：Jingneng Ni^a ; ^c ; Jiuping Xu^a ; ^b ; ^{xujiuping@scu.edu.cn} ; Mengxiang Zhang^a

关键词：Constructed wetland ; Balanced development ; Bi-level optimization model ; Fuzzy random ; Particle swarm optimization

刊名：Ecological Engineering

出版年：2016

8.A new hybrid optimization method inspired from swarm intelligence: Fuzzy adaptive swallow swarm optimization algorithm (FASSO)

作者：Mehdi Neshat^a ; ^{neshat@ieee.org" class="auth_mail" title="E-mail the corresponding author} ; Ghodrat Sepidname^b ; ¹ ; ^{Sepidname@iau-shirvan.ac.ir" class="auth_mail" title="E-mail the corresponding author}

关键词：Swarm intelligence ; Fuzzy logic ; Swallow swarm optimization ; Adaptive

刊名：Egyptian Informatics Journal

出版年：2015

9.Optimization of adaptive fuzzy logic controller using novel combined evolutionary algorithms, and its application in Diez Lagos flood controlling system, Southern New Mexico

作者：Hamed Zamani Sabzi^a ; ^{hzamani@nmsu.edu" class="auth_mail" title="E-mail the corresponding author} ; ^{hamed.zs87@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Delbert Humberson^a ; ^b ; ^{delbert.humberson@ibwc.gov" class="auth_mail" title="E-mail the corresponding author} ; Shalamu Abudu^c ; ^{shalamu310@outlook.com" class="auth_mail" title="E-mail the corresponding author} ; James Phillip King^a ; ^d ; ^{jpking@nmsu.edu" class="auth_mail" title="E-mail the corresponding author}

关键词：Fuzzy logic controller ; Genetic algorithm ; Particle swarm optimization ; ANFIS ; Flood optimal management ; Simulink ; Dynamic model ; Flood controlling systems

刊名：Expert Systems with Applications

出版年：2016

10.Unknown environment exploration of multi-robot system with the FORDPSO

作者：Dongshu Wang^a ; ^{wangdongshu@126.com" class="auth_mail" title="E-mail the corresponding author} ; Haitao Wang^b ; ^{waahait@163.com" class="auth_mail" title="E-mail the corresponding author} ; Lei Liu^c ; ^{luckyliulei@126.com" class="auth_mail" title="E-mail the corresponding author}

关键词：Multi-robot system ; Unknown environment exploration ; Particle swarm optimization ; Darwinian particle swarm optimization ; Fractional order calculus ; Fuzzy inferring system

刊名：Swarm and Evolutionary Computation

出版年：2016

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