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Citations to this Journal [76 citations: 72 articles]

Articles published in Applied Computational Intelligence and Soft Computing have been cited 76 times. The following is a list of the 72 articles that have cited the articles published in Applied Computational Intelligence and Soft Computing.

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • A. Goudarzi, A. Mozaffari, P. Samadian, A. Rezania, and L. A. Rosendahl, “Intelligent design of waste heat recovery systems using thermoelectric generators and optimization tools,” Meccanica, 2014. View at Publisher · View at Google Scholar
  • Yi Tan, Canbing Li, Yijia Cao, Kwang Y. Lee, Lijuan Li, Shengwei Tang, and Lian Zhou, “Improved group search optimization method for optimal power flow problem considering valve-point loading Effects,” Neurocomputing, 2014. View at Publisher · View at Google Scholar
  • Yong Tat Tan, and Bakhtiar Affendi Rosdi, “FPGA-based hardware accelerator for the prediction of protein secondary class via fuzzy K-nearest neighbors with Lempel-Ziv complexity based distance measure,” Neurocomputing, 2014. View at Publisher · View at Google Scholar
  • D. Alamedine, A. Diab, C. Muszynski, B. Karlsson, M. Khalil, and C. Marque, “Selection algorithm for parameters to characterize uterine EHG signals for the detection of preterm labor,” Signal, Image and Video Processing, 2014. View at Publisher · View at Google Scholar
  • M. J. Mahmoodabadi, M. Taherkhorsandi, and A. Bagheri, “Pareto Design of State Feedback Tracking Control of a Biped Robot via Multiobjective PSO in Comparison with Sigma Method and Genetic Algorithms: Modified NSGAII and MATLAB’s Toolbox,” The Scientific World Journal, vol. 2014, pp. 1–8, 2014. View at Publisher · View at Google Scholar
  • Smita Tapaswini, and S. Chakraverty, “Non-probabilistic Solution of Uncertain Vibration Equation of Large Membranes Using Adomian Decomposition Method,” The Scientific World Journal, vol. 2014, pp. 1–11, 2014. View at Publisher · View at Google Scholar
  • S. U. Khan, I. M. Qureshi, F. Zaman, B. Shoaib, A. Naveed, and A. Basit, “Correction of Faulty Sensors in Phased Array Radars Using Symmetrical Sensor Failure Technique and Cultural Algorithm with Differential Evolution,” The Scientific World Journal, vol. 2014, pp. 1–10, 2014. View at Publisher · View at Google Scholar
  • Saber M. Elsayed, Ruhul A. Sarker, and Daryl L. Essam, “Adaptive Configuration of evolutionary algorithms for constrained optimization,” Applied Mathematics and Computation, vol. 222, pp. 680–711, 2013. View at Publisher · View at Google Scholar
  • P.T. Nastos, A.G. Paliatsos, K.V. Koukouletsos, I.K. Larissi, and K.P. Moustris, “Artificial neural networks modelling for forecasting the maximum daily total precipitation at Athens, Greece,” Atmospheric Research, 2013. View at Publisher · View at Google Scholar
  • Fu-Rui Xiong, Zhi-Chang Qin, Yang Xue, Oliver Schütze, Qian Ding, and Jian-Qiao Sun, “Multi-objective optimal design of feedback controls for dynamical systems with hybrid simple cell mapping algorithm,” Communications in Nonlinear Science and Numerical Simulation, 2013. View at Publisher · View at Google Scholar
  • I. Cruz-Aceves, J. G. Avina-Cervantes, J. M. Lopez-Hernandez, H. Rostro-Gonzalez, C. H. Garcia-Capulin, M. Torres-Cisneros, and R. Guzman-Cabrera, “Multiple Active Contours Guided by Differential Evolution for Medical Image Segmentation,” Computational and Mathematical Methods in Medicine, vol. 2013, pp. 1–14, 2013. View at Publisher · View at Google Scholar
  • D. Alamedine, M. Khalil, and C. Marque, “Comparison of Different EHG Feature Selection Methods for the Detection of Preterm Labor,” Computational and Mathematical Methods in Medicine, vol. 2013, pp. 1–9, 2013. View at Publisher · View at Google Scholar
  • Yuantao Chen, Weihong Xu, Fangjun Kuang, and Shangbing Gao, “The Research and Application of Visual Saliency and Adaptive Support Vector Machine in Target Tracking Field,” Computational and Mathematical Methods in Medicine, vol. 2013, pp. 1–8, 2013. View at Publisher · View at Google Scholar
  • Ali Osman Kusakci, and Mehmet Can, “An Adaptive Penalty Based Covariance Matrix Adaptation-Evolution Strategy,” Computers & Operations Research, 2013. View at Publisher · View at Google Scholar
  • Mika Liukkonen, Petri Juntunen, Ilkka Laakso, and Yrjö Hiltunen, “A software platform for process monitoring: Applications to water treatment,” Expert Systems with Applications, vol. 40, no. 7, pp. 2631–2639, 2013. View at Publisher · View at Google Scholar
  • Mohammad Sadegh Jahan, and Nima Amjady, “Solution of large-scale security constrained optimal power flow by a new bi-level optimisation approach based on enhanced gravitational search algorithm,” Iet Generation Transmission & Distribution, vol. 7, no. 12, pp. 1481–1491, 2013. View at Publisher · View at Google Scholar
  • Ilhem Boussaïd, Julien Lepagnot, and Patrick Siarry, “A survey on optimization metaheuristics,” Information Sciences, vol. 237, pp. 82–117, 2013. View at Publisher · View at Google Scholar
  • Wen-Chin Chen, and Shi-Bo Lin, “Process Parameters Optimization of Multiple Quality Characteristics in Plastic Injection Molding Using BPNN and GA,” International Journal of Applied Physics and Mathematics, vol. 3, no. 6, pp. 373–375, 2013. View at Publisher · View at Google Scholar
  • Wenzhong Guo, Bin Zhang, Guolong Chen, Xiaofeng Wang, and Naixue Xiong, “A PSO-Optimized Minimum Spanning Tree-Based Topology Control Scheme for Wireless Sensor Networks,” International Journal of Distributed Sensor Networks, vol. 2013, pp. 1–14, 2013. View at Publisher · View at Google Scholar
  • Sushree Sangita Patnaik, and Anup Kumar Panda, “Three-level H-bridge and three H-bridges-based three-phase four-wire shunt active power filter topologies for high voltage applications,” International Journal of Electrical Power & Energy Systems, vol. 51, pp. 298–306, 2013. View at Publisher · View at Google Scholar
  • Yasuji Sawada, “Subjectivity and awareness,” International Journal of Machine Learning and Cybernetics, 2013. View at Publisher · View at Google Scholar
  • K. Latha, V. Rajinikanth, and P. M. Surekha, “PSO-Based PID Controller Design for a Class of Stable and Unstable Systems,” ISRN Artificial Intelligence, vol. 2013, pp. 1–11, 2013. View at Publisher · View at Google Scholar
  • Iyan E. Mulia, Harold Tay, K. Roopsekhar, and Pavel Tkalich, “Hybrid ANN–GA model for predicting turbidity and chlorophyll-a concentrations,” Journal of Hydro-environment Research, 2013. 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 networks and wavelet support vector regression models,” Journal of Hydrology, 2013. View at Publisher · View at Google Scholar
  • Joo-Heon Lee, Jong-Suk Kim, Ho-Won Jang, and Jang-Choon Lee, “Drought Forecasting Using the Multi Layer Perceptron (MLP) Artificial Neural Network Model,” Journal of Korea Water Resources Association, vol. 46, no. 12, pp. 1249–1263, 2013. View at Publisher · View at Google Scholar
  • Jingzheng Yao, and Duanfeng Han, “Improved Barebones Particle Swarm Optimization with Neighborhood Search and Its Application on Ship Design,” Mathematical Problems in Engineering, vol. 2013, pp. 1–12, 2013. View at Publisher · View at Google Scholar
  • Sheila Esmeralda Gonzalez-Reyna, Juan Gabriel Avina-Cervantes, Sergio Eduardo Ledesma-Orozco, and Ivan Cruz-Aceves, “Eigen-Gradients for Traffic Sign Recognition,” Mathematical Problems in Engineering, vol. 2013, pp. 1–6, 2013. View at Publisher · View at Google Scholar
  • Hsin-Chieh Wu, and Toly Chen, “A Fuzzy-Neural Ensemble and Geometric Rule Fusion Approach for Scheduling a Wafer Fabrication Factory,” Mathematical Problems in Engineering, vol. 2013, pp. 1–14, 2013. View at Publisher · View at Google Scholar
  • Dominik Maximilián Ramík, Kurosh Madani, and Christophe Sabourin, “From Visual Patterns to Semantic Description: a Cognitive Approach Using Artificial Curiosity as the Foundation,” Pattern Recognition Letters, 2013. View at Publisher · View at Google Scholar
  • Mamun B. I. Reaz, Mohd Alauddin Bin Mohd Ali, Ashrif A. A. Bakar, Kalaivani Chellappan, and Tae. G. Chang, “Surface Electromyography Signal Processing and Classification Techniques,” Sensors, vol. 13, no. 9, pp. 12431–12466, 2013. View at Publisher · View at Google Scholar
  • Bruno Santos, Claudia F. Galinha, João G. Crespo, Maria António Santos, and Svetlozar Velizarov, “Prediction of polar oil and grease contamination levels in refinery wastewater through multivariate statistical modeling,” Separation and Purification Technology, vol. 119, pp. 51–57, 2013. View at Publisher · View at Google Scholar
  • Anis Ladgham, Fayçal Hamdaoui, Anis Sakly, and Abdellatif Mtibaa, “Fast MR brain image segmentation based on modified Shuffled Frog Leaping Algorithm,” Signal, Image and Video Processing, 2013. View at Publisher · View at Google Scholar
  • Ahmad Mozaffari, Mofid Gorji-Bandpy, Pendar Samadian, Rouzbeh Rastgar, and Alireza Rezania Kolaei, “Comprehensive preference optimization of an irreversible thermal engine using pareto based mutable smart bee algorithm and generalized regression neural network,” Swarm and Evolutionary Computation, vol. 9, pp. 90–103, 2013. View at Publisher · View at Google Scholar
  • Gulshan Kumar, and Krishan Kumar, “Design of an Evolutionary Approach for Intrusion Detection,” The Scientific World Journal, vol. 2013, pp. 1–14, 2013. View at Publisher · View at Google Scholar
  • Furui Xiong, Zhichang Qin, Carlos Hernández, Yousef Sardahi, Yousef Narajani, Wei Liang, Yang Xue, Oliver Schütze, and Jianqiao Sun, “A multi-objective optimal PID control for a nonlinear system with time delay,” Theoretical and Applied Mechanics Letters, vol. 3, no. 6, pp. 063006, 2013. View at Publisher · View at Google Scholar
  • Celestine C. Aguwa, Leslie Monplaisir, and Prasanth A. Sylajakumari, “Effect of Rating Modification on a Fuzzy-Based Modular Architecture for Medical Device Design and Development,” Advances in Fuzzy Systems, vol. 2012, pp. 1–14, 2012. View at Publisher · View at Google Scholar
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  • V. Rajinikanth, and K. Latha, “Controller Parameter Optimization for Nonlinear Systems Using Enhanced Bacteria Foraging Algorithm,” Applied Computational Intelligence and Soft Computing, vol. 2012, pp. 1–12, 2012. View at Publisher · View at Google Scholar
  • Sushree Sangita Patnaik, and Anup Kumar Panda, “Particle Swarm Optimization and Bacterial Foraging Optimization Techniques for Optimal Current Harmonic Mitigation by Employing Active Power Filter,” Applied Computational Intelligence and Soft Computing, vol. 2012, pp. 1–10, 2012. View at Publisher · View at Google Scholar
  • Liang Gao, Jida Huang, and Xinyu Li, “An effective cellular particle swarm optimization for parameters optimization of a multi-pass milling process,” Applied Soft Computing, vol. 12, no. 11, pp. 3490–3499, 2012. View at Publisher · View at Google Scholar
  • Elena Lloret, and Manuel Palomar, “Tackling redundancy in text summarization through different levels of language analysis,” Computer Standards & Interfaces, 2012. View at Publisher · View at Google Scholar
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