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Citations to this Journal [161 citations: 1–100 of 156 articles]

Articles published in Applied Computational Intelligence and Soft Computing have been cited 161 times. The following is a list of the 156 articles that have cited the articles published in Applied Computational Intelligence and Soft Computing.

  • Supriya Raheja, “Designing of Vague Logic Based 2-Layered Framework for CPU Scheduler,” Advances in Fuzzy Systems, vol. 2016, pp. 1–11, 2016. View at Publisher · View at Google Scholar
  • Y. K. Bhateshvar, and H. D. Mathur, “Power Frequency Oscillation Suppression Using Two-Stage Optimized Fuzzy Logic Controller for Multigeneration System,” Advances in Fuzzy Systems, vol. 2016, pp. 1–13, 2016. View at Publisher · View at Google Scholar
  • Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, and Kyriakos Sgarbas, “A Semisupervised Cascade Classification Algorithm,” Applied Computational Intelligence and Soft Computing, vol. 2016, pp. 1–14, 2016. View at Publisher · View at Google Scholar
  • Ravinesh C. Deo, Xiaohu Wen, and Feng Qi, “A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset,” Applied Energy, vol. 168, pp. 568–593, 2016. View at Publisher · View at Google Scholar
  • Takenori Obo, Chu Kiong Loo, Manjeevan Seera, and Naoyuki Kubota, “Hybrid Evolutionary Neuro-Fuzzy Approach based on Mutual Adaptation for Human Gesture Recognition,” Applied Soft Computing, 2016. View at Publisher · View at Google Scholar
  • A. Belayneh, J. Adamowski, B. Khalil, and J. Quilty, “Coupling machine learning methods with wavelet transforms and the bootstrap and boosting ensemble approaches for drought prediction,” Atmospheric Research, vol. 172, pp. 37–47, 2016. View at Publisher · View at Google Scholar
  • Ali Boyali, and Naohisa Hashimoto, “Spectral Collaborative Representation based Classification for hand gestures recognition on electromyography signals,” Biomedical Signal Processing and Control, vol. 24, pp. 11–18, 2016. View at Publisher · View at Google Scholar
  • Abraham Assefa Tsehayae, and Aminah Robinson Fayek, “System model for analysing construction labour productivity,” Construction Innovation, vol. 16, no. 2, pp. 203–228, 2016. View at Publisher · View at Google Scholar
  • N.M. Arratia M., F. Lόpez I., S.E. Schaeffer, and L. Cruz-Reyes, “Static R&D project portfolio selection in public organizations,” Decision Support Systems, 2016. View at Publisher · View at Google Scholar
  • Mohamed A. Awadallah, “Variations of the bacterial foraging algorithm for the extraction of PV module parameters from nameplate data,” Energy Conversion and Management, vol. 113, pp. 312–320, 2016. View at Publisher · View at Google Scholar
  • Ravinesh C Deo, and Mehmet Şahin, “An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland,” Environmental Monitoring and Assessment, vol. 188, no. 2, 2016. View at Publisher · View at Google Scholar
  • Balamati Choudhury, Susan Thomas, and Rakesh Mohan Jha, “Implementation of Soft Computing Optimization Techniques in Antenna Engineering,” Ieee Antennas And Propagation Magazine, vol. 57, no. 6, pp. 122–131, 2016. View at Publisher · View at Google Scholar
  • Felipe Machado, Joao P. F. Trovao, and Carlos Henggeler Antunes, “Effectiveness of Supercapacitors in Pure Electric Vehicles Using a Hybrid Metaheuristic Approach,” IEEE Transactions on Vehicular Technology, vol. 65, no. 1, pp. 29–36, 2016. View at Publisher · View at Google Scholar
  • Hazem I. Ali, and Karam Samir Khalid, “Swarm intelligence based robust active queue management design for congestion control in TCP network,” IEEJ Transactions on Electrical and Electronic Engineering, 2016. View at Publisher · View at Google Scholar
  • Engin Cemal MengÜÇ, and Nurettin Acir, “Real-Time Implementation of Lyapunov Stability Theory-Based Adaptive Filter on FPGA,” IEICE Transactions on Electronics, vol. E99.C, no. 1, pp. 129–137, 2016. View at Publisher · View at Google Scholar
  • Sk Md Obaidullah, Chayan Halder, Nibaran Das, and Kaushik Roy, “Bangla and Oriya Script Lines Identification from Handwritten Document Images in Tri-script Scenario,” International Journal of Service Science, Management, Engineering, and Technology, vol. 7, no. 1, pp. 43–60, 2016. View at Publisher · View at Google Scholar
  • H.A. Barbosa, and T.V. Lakshmi Kumar, “Influence of rainfall variability on the vegetation dynamics over Northeastern Brazil,” Journal of Arid Environments, vol. 124, pp. 377–387, 2016. View at Publisher · View at Google Scholar
  • Muhammad Shoaib, Asaad Y. Shamseldin, Bruce W. Melville, and Mudasser Muneer Khan, “A comparison between wavelet based static and dynamic neural network approaches for runoff prediction,” Journal of Hydrology, 2016. View at Publisher · View at Google Scholar
  • Abbas Abdolmaleki, Nuno Lau, Luis Paulo Reis, Jan Peters, and Gerhard Neumann, “Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller,” Journal of Intelligent & Robotic Systems, 2016. View at Publisher · View at Google Scholar
  • Sergey Manko, Valery Lokhin, Sekou Diane, and Alexander Panin, “Multi-robot system learning based on evolutionary classification,” MATEC Web of Conferences, vol. 42, pp. 03001, 2016. View at Publisher · View at Google Scholar
  • Che-Hung Liu, Qi Chen, Chang-Hua Liu, and Zhaohui Zhong, “Graphene Ambipolar Nanoelectronics for High Noise Rejection Amplification,” Nano Letters, 2016. View at Publisher · View at Google Scholar
  • Hassan Ismkhan, “A Novel Intelligent Algorithm to Control Mutation Rate Using the Concept of Local Trap,” New Generation Computing, vol. 34, no. 1-2, pp. 177–192, 2016. View at Publisher · View at Google Scholar
  • Kamal Hajari, Ujwalla Gawande, and Yogesh Golhar, “Neural Network Approach to Iris Recognition in Noisy Environment,” Procedia Computer Science, vol. 78, pp. 675–682, 2016. View at Publisher · View at Google Scholar
  • Hao Guo, Anming Bao, Tie Liu, Sheng Chen, and Felix Ndayisaba, “Evaluation of PERSIANN-CDR for Meteorological Drought Monitoring over China,” Remote Sensing, vol. 8, no. 5, pp. 379, 2016. View at Publisher · View at Google Scholar
  • Xinwei Qiu, Chiyang Liu, Guangzhou Mao, Yu Deng, Feifei Wang, and Jianqiang Wang, “Major, trace and platinum-group element geochemistry of the Upper Triassic nonmarine hot shales in the Ordos basin, Central China,” Applied Geochemistry, vol. 53, pp. 42–52, 2015. View at Publisher · View at Google Scholar
  • V. Antony Vijesh, and K. Harish Kumar, “Wavelet based quasilinearization method for semi-linear parabolic initial boundary value problems,” Applied Mathematics and Computation, vol. 266, pp. 1163–1176, 2015. View at Publisher · View at Google Scholar
  • Rutuparna Panda, and Manoj Kumar Naik, “A novel adaptive crossover bacterial foraging optimization algorithm for linear discriminant analysis based face recognition,” Applied Soft Computing, 2015. View at Publisher · View at Google Scholar
  • Manoj Kumar Naik, and Rutuparna Panda, “A novel adaptive cuckoo search algorithm for intrinsic discriminant analysis based face recognition,” Applied Soft Computing, 2015. View at Publisher · View at Google Scholar
  • Ravinesh C. Deo, and Mehmet Şahin, “Application of the Artificial Neural Network model for prediction of monthly Standardized Precipitation and Evapotranspiration Index using hydrometeorological parameters and climate indices in eastern Australia,” Atmospheric Research, vol. 161-162, pp. 65–81, 2015. View at Publisher · View at Google Scholar
  • Yousef Naranjani, Yousef Sardahi, YangQuan Chen, and Jian-Qiao Sun, “Multi-Objective Optimization of Distributed-Order Fractional Damping,” Communications in Nonlinear Science and Numerical Simulation, 2015. View at Publisher · View at Google Scholar
  • Y. Diouane, S. Gratton, and L. N. Vicente, “Globally convergent evolution strategies for constrained optimization,” Computational Optimization and Applications, 2015. View at Publisher · View at Google Scholar
  • Indumathy Rajagopal, and Uma Maheswari Sankareswaran, “Hybrid Particle Swarm Optimization with Iterative Local Search for DNA Sequence Assembly,” Current Bioinformatics, vol. 10, no. 4, pp. 393–400, 2015. View at Publisher · View at Google Scholar
  • Supriya Raheja, Reena Dadhich, and Smita Rajpal, “Designing of vague logic based multilevel feedback queue scheduler,” Egyptian Informatics Journal, 2015. View at Publisher · View at Google Scholar
  • Şaban Gülcü, and Halife Kodaz, “A novel parallel multi-swarm algorithm based on comprehensive learning particle swarm optimization,” Engineering Applications of Artificial Intelligence, vol. 45, pp. 33–45, 2015. View at Publisher · View at Google Scholar
  • Raashid Hussain, Ahsen Raza, Imran Siddiqi, Khurram Khurshid, and Chawki Djeddi, “A comprehensive survey of handwritten document benchmarks: structure, usage and evaluation,” EURASIP Journal on Image and Video Processing, vol. 2015, no. 1, 2015. View at Publisher · View at Google Scholar
  • Mohammad Hossein Zarifi, Hajar Satvati, and Mehdi Baradaran-nia, “Analysis of evolutionary techniques for the automated implementation of digital circuits,” Expert Systems with Applications, 2015. View at Publisher · View at Google Scholar
  • Jelena Z. Kiurski-Milosevic, Mirjana B. Vojinovic Miloradov, and Nebojsa M. Ralevic, “Fuzzy model for determination and assessment of groundwater quality in the city of Zrenjanin, Serbia,” Hemijska Industrija, vol. 69, no. 1, pp. 17–28, 2015. View at Publisher · View at Google Scholar
  • Dilip Kumar Pratihar, “Expert systems in manufacturing processes using soft computing,” International Journal Of Advanced Manufacturing Technology, vol. 81, no. 5-8, pp. 887–896, 2015. View at Publisher · View at Google Scholar
  • S. Samantha Bastiani, Laura Cruz-Reyes, Eduardo Fernandez, and Claudia Gomez, “Portfolio Optimization From a Set of Preference Ordered Projects Using an Ant Colony Based Multi-objective Approach,” International Journal Of Computational Intelligence Systems, vol. 8, pp. 41–53, 2015. View at Publisher · View at Google Scholar
  • Jinlan Li, Chaowei Wang, Yinghai Zhang, Lin Kang, and Zhi Chen, “On Critical Density for Coverage and Connectivity in Directional Sensor Network over Stochastic Channels Using Continuum Percolation,” International Journal of Distributed Sensor Networks, vol. 2015, pp. 1–11, 2015. View at Publisher · View at Google Scholar
  • Taejin Lee, Hesun Cho, Haeryong Park, and Jin Kwak, “Detection of Malware Propagation in Sensor Node and Botnet Group Clustering Based on E-mail Spam Analysis,” International Journal of Distributed Sensor Networks, vol. 2015, pp. 1–12, 2015. View at Publisher · View at Google Scholar
  • Xiao Laisheng, “Living Space Evolution: A New Crowd Based Computational Approach,” International Journal of Distributed Sensor Networks, vol. 2015, pp. 1–16, 2015. View at Publisher · View at Google Scholar
  • Anup Kumar Panda, and Sushree Sangita Patnaik, “Analysis of cascaded multilevel inverters for active harmonic filtering in distribution networks,” International Journal of Electrical Power & Energy Systems, vol. 66, pp. 216–226, 2015. View at Publisher · View at Google Scholar
  • E E Luneva, P I Banokin, and A A Yefremov, “Evaluation of social network user sentiments based on fuzzy sets,” IOP Conference Series: Materials Science and Engineering, vol. 93, pp. 012054, 2015. View at Publisher · View at Google Scholar
  • Bruno S Neves, Anderson S Venturini, and Altamiro A Susin, “A novel caching algorithm for VoD proxy implementation and its evaluation including a new set of metrics for efficiency analysis,” Journal of the Brazilian Computer Society, vol. 21, no. 1, 2015. View at Publisher · View at Google Scholar
  • Youngmin Seo, Sungwon Kim, and Vijay P. Singh, “Multistep-ahead flood forecasting using wavelet and data-driven methods,” Ksce Journal Of Civil Engineering, vol. 19, no. 2, pp. 401–417, 2015. View at Publisher · View at Google Scholar
  • Mi Xiao, Long Wen, Xi Li, and Liang Gao, “Modeling of the Feed-Motor Transient Current in End Milling by Using Varying-Coefficient Model,” Mathematical Problems in Engineering, vol. 2015, pp. 1–9, 2015. View at Publisher · View at Google Scholar
  • Shiva Gholami-Boroujeny, and Miodrag Bolic, “Extraction of Cole parameters from the electrical bioimpedance spectrum using stochastic optimization algorithms,” Medical & Biological Engineering & Computing, 2015. View at Publisher · View at Google Scholar
  • Arezoo Sarkheyli, Azlan Mohd Zain, and Safian Sharif, “Robust optimization of ANFIS based on a new modified GA,” Neurocomputing, vol. 166, pp. 357–366, 2015. View at Publisher · View at Google Scholar
  • Tim Herrmann, Johannes Mallow, Markus Plaumann, Michael Luchtmann, Joerg Stadler, Judith Mylius, Michael Brosch, and Johannes Bernarding, “The Travelling-Wave Primate System: A New Solution for Magnetic Resonance Imaging of Macaque Monkeys at 7 Tesla Ultra-High Field,” Plos One, vol. 10, no. 6, 2015. View at Publisher · View at Google Scholar
  • Claudio Ciancio, Teresa Citrea, Giuseppina Ambrogio, Luigi Filice, and Roberto Musmanno, “Design of a High Performance Predictive Tool for Forging Operation,” Procedia CIRP, vol. 33, pp. 173–178, 2015. View at Publisher · View at Google Scholar
  • Sk Md Obaidullah, Chayan Halder, Nibaran Das, and Kaushik Roy, “Numeral Script Identification from Handwritten Document Images,” Procedia Computer Science, vol. 54, pp. 585–594, 2015. View at Publisher · View at Google Scholar
  • Farsam Farzadpour, Mohammad Danesh, and Seyed M. TorkLarki, “Development of multi-phase dynamic equations for a seven-link biped robot with improved foot rotation in the double support phase,” Proceedings Of The Institution Of Mechanical Engineers Part C-Journal Of Mechanical Engineering Science, vol. 229, no. 1, pp. 3–17, 2015. View at Publisher · View at Google Scholar
  • Pratibha Singh, Ajay Verma, and Narendra S Chaudhari, “Feature selection based classifier combination approach for handwritten Devanagari numeral recognition,” Sadhana, 2015. View at Publisher · View at Google Scholar
  • Etto L. Salomons, and Paul J. M. Havinga, “A Survey on the Feasibility of Sound Classification on Wireless Sensor Nodes,” Sensors, vol. 15, no. 4, pp. 7462–7498, 2015. View at Publisher · View at Google Scholar
  • Ashkan Parsi, Ali Ghanbari Sorkhi, and Morteza Zahedi, “Improving the unsupervised LBG clustering algorithm performance in image segmentation using principal component analysis,” Signal, Image and Video Processing, vol. 10, no. 2, pp. 301–309, 2015. View at Publisher · View at Google Scholar
  • Bo Yang, and Ruiming Wu, “A modified probability collectives optimization algorithm based on trust region method and a new temperature annealing schedule,” Soft Computing, vol. 20, no. 4, pp. 1581–1600, 2015. View at Publisher · View at Google Scholar
  • Padmavathi Kora, and Sri Ramakrishna Kalva, “Hybrid Bacterial Foraging and Particle Swarm Optimization for detecting Bundle Branch Block,” SpringerPlus, vol. 4, no. 1, 2015. View at Publisher · View at Google Scholar
  • Ravinesh C. Deo, Pijush Samui, and Dookie Kim, “Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models,” Stochastic Environmental Research and Risk Assessment, 2015. View at Publisher · View at Google Scholar
  • A. Belayneh, J. Adamowski, and B. Khalil, “Short-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet transforms and machine learning methods,” Sustainable Water Resources Management, 2015. View at Publisher · View at Google Scholar
  • Yan Pei, Qiangfu Zhao, and Yong Liu, “Kernel Method Based Human Model for Enhancing Interactive Evolutionary Optimization,” The Scientific World Journal, vol. 2015, pp. 1–12, 2015. View at Publisher · View at Google Scholar
  • Mohammad Reza Kousari, Mitra Esmaeilzadeh Hosseini, Hossein Ahani, and Hemila Hakimelahi, “Introducing an operational method to forecast long-term regional drought based on the application of artificial intelligence capabilities,” Theoretical and Applied Climatology, 2015. View at Publisher · View at Google Scholar
  • Mohammed Moness, and Ahmed M. Moustafa, “Tuning a digital multivariable controller for a lab-scale helicopter system via simulated annealing and evolutionary algorithms,” Transactions Of The Institute Of Measurement And Control, vol. 37, no. 10, pp. 1254–1273, 2015. View at Publisher · View at Google Scholar
  • Harsha Ratnaweera, and Joachim Fettig, “State of the Art of Online Monitoring and Control of the Coagulation Process,” Water, vol. 7, no. 11, pp. 6574–6597, 2015. View at Publisher · View at Google Scholar
  • Mohamad-Hoseyn Sigari, Muhammad-Reza Pourshahabi, and Hamid-Reza Pourreza, “A New Evolutionary-Incremental Framework for Feature Selection,” Advances in Artificial Intelligence, vol. 2014, pp. 1–12, 2014. View at Publisher · View at Google Scholar
  • A. Jayachitra, and R. Vinodha, “Genetic Algorithm Based PID Controller Tuning Approach for Continuous Stirred Tank Reactor,” Advances in Artificial Intelligence, vol. 2014, pp. 1–8, 2014. View at Publisher · View at Google Scholar
  • Pavel Tomšič, and Jože Duhovnik, “Simultaneous Topology and Size Optimization of 2D and 3D Trusses Using Evolutionary Structural Optimization with regard to Commonly Used Topologies,” Advances in Mechanical Engineering, vol. 2014, pp. 1–13, 2014. View at Publisher · View at Google Scholar
  • Mita K. Dalal, and Mukesh A. Zaveri, “Opinion Mining from Online User Reviews Using Fuzzy Linguistic Hedges,” Applied Computational Intelligence and Soft Computing, vol. 2014, pp. 1–9, 2014. View at Publisher · View at Google Scholar
  • Manjunath Patel Gowdru Chandrashekarappa, Prasad Krishna, and Mahesh B. Parappagoudar, “Forward and Reverse Process Models for the Squeeze Casting Process Using Neural Network Based Approaches,” Applied Computational Intelligence and Soft Computing, vol. 2014, pp. 1–12, 2014. View at Publisher · View at Google Scholar
  • Farman Ali, Eun Kyoung Kim, and Yong-Gi Kim, “Type-2 fuzzy ontology-based opinion mining and information extraction: A proposal to automate the hotel reservation system,” Applied Intelligence, vol. 42, no. 3, pp. 481–500, 2014. View at Publisher · View at Google Scholar
  • Ravinesh C. Deo, and Mehmet Şahin, “Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia,” Atmospheric Research, 2014. View at Publisher · View at Google Scholar
  • Goranka Stimac, Sanjin Braut, and Roberto Zigulic, “Comparative Analysis of PSO Algorithms for PID Controller Tuning,” Chinese Journal of Mechanical Engineering, vol. 27, no. 5, pp. 928–936, 2014. View at Publisher · View at Google Scholar
  • Md. Rabiul Islam, “Feature and Score Fusion Based Multiple Classifier Selection for Iris Recognition,” Computational Intelligence and Neuroscience, vol. 2014, pp. 1–11, 2014. View at Publisher · View at Google Scholar
  • N.K. Samal, and D.K. Pratihar, “Optimization of variable demand fuzzy economic order quantity inventory models without and with backordering,” Computers & Industrial Engineering, 2014. View at Publisher · View at Google Scholar
  • Kashif Saleem, Abdelouahid Derhab, Jalal Al-Muhtadi, and Mehmet A. Orgun, “Analyzing ant colony optimization based routing protocol against the hole problem for enhancing user’s connectivity experience,” Computers in Human Behavior, 2014. View at Publisher · View at Google Scholar
  • Ernesto D’Avanzo, and Giovanni Pilato, “Mining social network users opinions’ to aid buyers’ shopping decisions,” Computers in Human Behavior, 2014. View at Publisher · View at Google Scholar
  • O. G. Rudenko, and O. O. Bezsonov, “Robust Neuroevolutionary Identification of Nonlinear Nonstationary Objects,” Cybernetics and Systems Analysis, 2014. View at Publisher · View at Google Scholar
  • Mohammad Reza Jabbarpour, Ali Jalooli, Erfan Shaghaghi, Rafidah Md Noor, Leon Rothkrantz, Rashid Hafeez Khokhar, and Nor Badrul Anuar, “Ant-based vehicle congestion avoidance system using vehicular networks,” Engineering Applications of Artificial Intelligence, vol. 36, pp. 303–319, 2014. View at Publisher · View at Google Scholar
  • Shubhendu Kumar Sarangi, Rutuparna Panda, and Manoranjan Dash, “Design of 1-D and 2-D recursive filters using crossover bacterial foraging and Cuckoo search techniques,” Engineering Applications of Artificial Intelligence, vol. 34, pp. 109–121, 2014. View at Publisher · View at Google Scholar
  • Michael Sonnenschein, Ontje Lünsdorf, Jörg Bremer, and Martin Tröschel, “Decentralized control of units in smart grids for the support of renewable energy supply,” Environmental Impact Assessment Review, 2014. View at Publisher · View at Google Scholar
  • Smita Tapaswini, and S. Chakraverty, “Non-probabilistic uncertainty analysis of forest fire model by solving fuzzy hyperbolic reaction–diffusion equation,” Fire Safety Journal, 2014. View at Publisher · View at Google Scholar
  • Mehran Shaygan, Abbas Alimohammadi, Ali Mansourian, Zohreh Shams Govara, and S. Mostapha Kalami, “Spatial Multi-Objective Optimization Approach for Land Use Allocation Using NSGA-II,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 3, pp. 906–916, 2014. View at Publisher · View at Google Scholar
  • Kashif Saleem, Norsheila Fisal, and Jalal Al-Muhtadi, “Empirical Studies of Bio-Inspired Self-Organized Secure Autonomous Routing Protocol,” Ieee Sensors Journal, vol. 14, no. 7, pp. 2232–2239, 2014. View at Publisher · View at Google Scholar
  • Sara Moein, and Rajasvaran Logeswaran, “KGMO: A swarm optimization algorithm based on the kinetic energy of gas molecules,” Information Sciences, vol. 275, pp. 127–144, 2014. View at Publisher · View at Google Scholar
  • Neha S. Patankar, Anand J. Kulkarni, Kang Tai, T. D. Ghate, and A. R. Parvate, “Multi-criteria probability collectives,” International Journal Of Bio-Inspired Computation, vol. 6, no. 6, pp. 369–383, 2014. View at Publisher · View at Google Scholar
  • Farhad Pouladi, Hojjat Salehinejad, Hamid Sanatnama, and Siamak Talebi, “Optimum communication infrastructure design for power grids synchronisation in smart grids,” International Journal of Bio-Inspired Computation, vol. 6, no. 4, pp. 262–274, 2014. View at Publisher · View at Google Scholar
  • Megha Kamble, and Roopam Gupta, “Software Agent Structure for Performance Index Improvement of Cellular Network,” International Journal of Communications, Network and System Sciences, vol. 07, no. 09, pp. 331–345, 2014. View at Publisher · View at Google Scholar
  • Sushree Sangita Patnaik, and Anup Kumar Panda, “Optimizing current harmonics compensation in three-phase power systems with an Enhanced Bacterial foraging approach,” International Journal of Electrical Power & Energy Systems, vol. 61, pp. 386–398, 2014. View at Publisher · View at Google Scholar
  • Anand J. Kulkarni, and Hinna Shabir, “Solving 0–1 Knapsack Problem using Cohort Intelligence Algorithm,” International Journal of Machine Learning and Cybernetics, 2014. View at Publisher · View at Google Scholar
  • Zhenxue Chen, Chengyun Liu, Faliang Chang, Xuzhen Han, and Kaifang Wang, “Illumination Processing In Face Recognition,” International Journal of Pattern Recognition and Artificial Intelligence, pp. 1456011, 2014. View at Publisher · View at Google Scholar
  • Wen-Chin Chen, and Denni Kurniawan, “Process parameters optimization for multiple quality characteristics in plastic injection molding using Taguchi method, BPNN, GA, and hybrid PSO-GA,” International Journal of Precision Engineering and Manufacturing, vol. 15, no. 8, pp. 1583–1593, 2014. View at Publisher · View at Google Scholar
  • H. F. Yu, E. H. K. Fung, and X. J. Jing, “An Improved ZMP-Based CPG Model of Bipedal Robot Walking Searched by SaDE,” ISRN Robotics, vol. 2014, pp. 1–16, 2014. View at Publisher · View at Google Scholar
  • Lin Wu, and Qing-Cun Zeng, “Classifying Asian dust aerosols and their columnar optical properties using fuzzy clustering,” Journal of Geophysical Research: Atmospheres, 2014. View at Publisher · View at Google Scholar
  • A. Belayneh, J. Adamowski, B. Khalil, and B. Ozga-Zielinski, “Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression models,” Journal of Hydrology, vol. 508, pp. 418–429, 2014. View at Publisher · View at Google Scholar
  • Vu Minh Tue, Srivatsan V. Raghavan, Pham Duc Minh, and Liong Shie-Yui, “Investigating drought over the central highland, vietnam, using regional climate models,” Journal of Hydrology, 2014. View at Publisher · View at Google Scholar
  • Ali Danandeh Mehr, Ercan Kahya, and Mehmet Ozger, “A gene-wavelet model for long lead time drought forecasting,” Journal of Hydrology, vol. 517, pp. 691–699, 2014. View at Publisher · View at Google Scholar
  • Qiang Long, and Changzhi Wu, “A hybrid method combining genetic algorithm and Hooke-Jeeves method for constrained global optimization,” Journal of Industrial and Management Optimization, vol. 10, no. 4, pp. 1279–1296, 2014. View at Publisher · View at Google Scholar
  • Meijing Li, Xiuming Yu, and Keun Ho Ryu, “MapReduce-based web mining for prediction of web-user navigation,” Journal of Information Science, vol. 40, no. 5, pp. 557–567, 2014. View at Publisher · View at Google Scholar
  • Khairul A. M. Nor, Asan G. A. Muthalif, and Azni N. Wahid, “Ant colony Optimization for Controller and Sensor-Actuator Location in Active Vibration Control,” Journal of Low Frequency Noise, Vibration and Active Control, vol. 32, no. 4, pp. 293–308, 2014. View at Publisher · View at Google Scholar
  • Supriya Dhabal, and Palaniandavar Venkateswaran, “Two-Dimensional IIR Filter Design Using Simulated Annealing Based Particle Swarm Optimization,” Journal of Optimization, vol. 2014, pp. 1–10, 2014. View at Publisher · View at Google Scholar