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ORCIDApplied Soft Computing, Volume 83
Volume 83, October 2019
- S. Radhika
, P. Rangarajan:
On improving the lifespan of wireless sensor networks with fuzzy based clustering and machine learning based data reduction. - Yilmaz Kaya, Ömer Faruk Ertugrul:
Estimation of neurological status from non-electroencephalography bio-signals by motif patterns. - Lidia Ghosh, Pratyusha Rakshit, Amit Konar:
Working memory modeling using inverse fuzzy relational approach. - Zhenghao Ding, Yilin Zhao, Zhong-Rong Lu:
Simultaneous identification of structural stiffness and mass parameters based on Bare-bones Gaussian Tree Seeds Algorithm using time-domain data. - Lei Zhang, Yong Li, Peng Wang, Wei Wei, Songzheng Xu, Yanning Zhang:
A separation-aggregation network for image denoising. - Sundar Rengasamy, M. Punniyamoorthy:
Performance enhanced Boosted SVM for Imbalanced datasets. - Wei-Chang Yeh:
Solving cold-standby reliability redundancy allocation problems using a new swarm intelligence algorithm. - Katarzyna Borowska, Jaroslaw Stepaniuk:
A rough-granular approach to the imbalanced data classification problem. - Yujun Zheng, Xue-Qin Lu, Yi-Chen Du, Yu Xue, Wei-Guo Sheng:
Water wave optimization for combinatorial optimization: Design strategies and applications. - Monia Hamdi, Mourad Zaied:
Resource allocation based on hybrid genetic algorithm and particle swarm optimization for D2D multicast communications. - Alberto Bartoli, Andrea De Lorenzo, Eric Medvet, Giovanni Squillero:
Multi-level diversity promotion strategies for Grammar-guided Genetic Programming. - Ankita Bose, Kalyani Mali:
Gradual representation of shadowed set for clustering gene expression data. - Haiying Li, Yitang Wang, Xinyue Xu, Lingqiao Qin, Hanyu Zhang:
Short-term passenger flow prediction under passenger flow control using a dynamic radial basis function network. - Salisu Wada Yahaya, Ahmad Lotfi, Mufti Mahmud:
A Consensus Novelty Detection Ensemble Approach for Anomaly Detection in Activities of Daily Living. - Jan Zegklitz, Petr Posík:
Symbolic regression in dynamic scenarios with gradually changing targets. - Kee-Hoon Kim, Sung-Bae Cho:
An efficient concentrative photovoltaic solar system with Bayesian selection of optimal solar tracking algorithms. - Daniela Moniz, João Pedro, Nuno Horta, João Pires:
Multi-objective framework for cost-effective OTN switch placement using NSGA-II with embedded domain knowledge. - Naveed Chouhan, Asifullah Khan, Haroon-Ur-Rashid Khan:
Network anomaly detection using channel boosted and residual learning based deep convolutional neural network. - Nizar Faisal Alkayem, Maosen Cao, Minvydas Ragulskis:
Damage localization in irregular shape structures using intelligent FE model updating approach with a new hybrid objective function and social swarm algorithm. - Divya Chaudhary, Bijendra Kumar:
Cost optimized Hybrid Genetic-Gravitational Search Algorithm for load scheduling in Cloud Computing. - Kok-Meng Ong, Pauline Ong, Chee Kiong Sia, Ee Soong Low:
Effective moving object tracking using modified flower pollination algorithm for visible image sequences under complicated background. - Ting Wang, Chen Xiuxiang, Wen Qin:
A novel adaptive control for reaching movements of an anthropomorphic arm driven by pneumatic artificial muscles. - Deepak Ranjan Nayak, Yudong Zhang, Dibyasundar Das, Subinita Panda:
MJaya-ELM: A Jaya algorithm with mutation and extreme learning machine based approach for sensorineural hearing loss detection. - Xianghai Cao, Hongxia Lu, Meiru Ren, Licheng Jiao:
Non-overlapping classification of hyperspectral imagery with superpixel segmentation. - Aldo-Jonathan Muñoz-Vázquez, Fernando Gaxiola, Fernando Martínez-Reyes, Alain Manzo-Martinez:
A fuzzy fractional-order control of robotic manipulators with PID error manifolds. - Elias David Niño Ruiz, Xin-She Yang:
Improved Tabu Search and Simulated Annealing methods for nonlinear data assimilation. - Junwu Zhu, Jieke Shi, Zhou Yang, Bin Li:
A real-time decentralized algorithm for task scheduling in multi-agent system with continuous damage. - Rafal Szczepanski, Tomasz Tarczewski, Lech Marian Grzesiak:
Adaptive state feedback speed controller for PMSM based on Artificial Bee Colony algorithm. - Sebastián Maldonado, Agustín González, Sven F. Crone:
Automatic time series analysis for electric load forecasting via support vector regression. - Kun Zhang, Huaguang Zhang, Xiaodong Liang, Zhiliang Wang:
Neurodynamic programming and tracking control scheme of constrained-input systems via a novel event-triggered PI algorithm. - Lianbo Ma, Ying Liu:
Maximizing three-hop influence spread in social networks using discrete comprehensive learning artificial bee colony optimizer. - Mohit Kumar, Jaspreet Singh Dhillon:
A conglomerated ion-motion and crisscross search optimizer for electric power load dispatch. - Hamid Afshari, Warren L. Hare, Solomon Tesfamariam:
Constrained multi-objective optimization algorithms: Review and comparison with application in reinforced concrete structures. - Linqi Zhu, Chong Zhang, Chaomo Zhang, Zhansong Zhang, Xin Nie, Xueqing Zhou, Weinan Liu, Xiu Wang:
Forming a new small sample deep learning model to predict total organic carbon content by combining unsupervised learning with semisupervised learning. - Arash Gharehbaghi, Maria Lindén, Ankica Babic:
An artificial intelligent-based model for detecting systolic pathological patterns of phonocardiogram based on time-growing neural network. - Kun Miao, Xiaolin Mao, Chen Li:
Individualism of particles in particle swarm optimization. - Heba A. Kurdi, Munirah F. Aldaood, Shiroq Al-Megren, Ebtesam Aloboud, Abdulrahman S. Aldawood, Kamal Youcef-Toumi:
Adaptive task allocation for multi-UAV systems based on bacteria foraging behaviour. - Runjia Sun, Yutian Liu, Hainan Zhu, Rasoul Azizipanah-Abarghooee, Vladimir V. Terzija:
A network reconfiguration approach for power system restoration based on preference-based multiobjective optimization. - Devkumar Das, Subhranil Koley, Surajit Bose, Asok Kumar Maiti, Bhaskar Mitra, Gopeswar Mukherjee, Pranab Kumar Dutta:
Computer aided tool for automatic detection and delineation of nucleus from oral histopathology images for OSCC screening. - Jie Yang, Haibin Zhu, Tieqiao Liu:
Secure and economical multi-cloud storage policy with NSGA-II-C. - Soumi Manna, Tanushree Mitra Basu, Shyamal Kumar Mondal:
A new algorithmic approach to linguistic valued soft multi-criteria group decision-making problems using linguistic scale function. - Mewael Isiet, Mohamed Gadala:
Self-adapting control parameters in particle swarm optimization. - Xiwen Cai, Liang Gao, Fan Li:
Sequential approximation optimization assisted particle swarm optimization for expensive problems. - Kaiping Luo, Qiuhong Zhao:
A binary grey wolf optimizer for the multidimensional knapsack problem. - Shangkun Deng, Chenguang Wang, Mingyue Wang, Zhe Sun:
A gradient boosting decision tree approach for insider trading identification: An empirical model evaluation of China stock market. - Jonatan Henríquez, Werner Kristjanpoller:
A combined Independent Component Analysis-Neural Network model for forecasting exchange rate variation. - José Rômulo de Castro Vieira, Flavio Barboza, Vinicius Amorim Sobreiro, Herbert Kimura:
Machine learning models for credit analysis improvements: Predicting low-income families' default. - Fehmi Burcin Özsoydan:
Effects of dominant wolves in grey wolf optimization algorithm. - He Jiang, Weihua Zheng, Liangqing Luo, Yao Dong:
A two-stage minimax concave penalty based method in pruned AdaBoost ensemble. - Samir Khan, Chun Fui Liew, Takehisa Yairi, Richard McWilliam:
Unsupervised anomaly detection in unmanned aerial vehicles. - Saroj K. Meher:
Semisupervised self-learning granular neural networks for remote sensing image classification. - Engin Pekel, Selin Soner Kara:
Solving fuzzy capacitated location routing problem using hybrid variable neighborhood search and evolutionary local search. - Arif Ali Khan, Mohammad Shameem, Rakesh Ranjan Kumar, Shahid Hussain, Xuefeng Yan:
Fuzzy AHP based prioritization and taxonomy of software process improvement success factors in global software development. - György Kovács:
An empirical comparison and evaluation of minority oversampling techniques on a large number of imbalanced datasets. - Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza:
A holistic multi-objective optimization design procedure for ensemble member generation and selection. - Ahmet Gunes Yardimci, Celal Karpuz:
Shortest path optimization of haul road design in underground mines using an evolutionary algorithm. - Khaoula Tidriri, Sylvain Verron, Teodor Tiplica, Nizar Chatti:
A decision fusion based methodology for fault Prognostic and Health Management of complex systems. - Qiangda Yang, Jie Zhang, Zhi Yi:
Predicting molten steel endpoint temperature using a feature-weighted model optimized by mutual learning cuckoo search. - Burak Efe:
Fuzzy cognitive map based quality function deployment approach for dishwasher machine selection. - Muhammad Tanveer, Chandan Gautam, Ponnuthurai N. Suganthan:
Comprehensive evaluation of twin SVM based classifiers on UCI datasets. - Nasrin Alizadeh, Ali Husseinzadeh Kashan:
Enhanced grouping league championship and optics inspired optimization algorithms for scheduling a batch processing machine with job conflicts and non-identical job sizes. - Farhad Etebari:
A simultaneous facility location, vehicle routing and dynamic pricing in a distribution network. - Amany M. Akl, Ruhul A. Sarker, Daryl Leslie Essam:
Adaptive simulation budget allocation in Simulation assisted Differential Evolution algorithm. - Yajun Liang, Xiaofei Wang, Hui Zhao, Tong Han, Zhenglei Wei, Yintong Li:
A covariance matrix adaptation evolution strategy variant and its engineering application. - Yu-Pei Huang, Meng-Feng Yen:
A new perspective of performance comparison among machine learning algorithms for financial distress prediction. - Andre Miguel da Silva Pinho, Nuno Pombo, Bruno M. C. Silva, Kouamana Bousson, Nuno M. Garcia:
Towards an accurate sleep apnea detection based on ECG signal: The quintessential of a wise feature selection.
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