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ORCIDApplied Soft Computing, Volume 78
Volume 78, May 2019
- Chyh-Ming Lai
:
Integrating simplified swarm optimization with AHP for solving capacitated military logistic depot location problem. 1-12 - Juan Carlos Gámez, David García, Antonio González, Raúl Pérez:
An approximation to solve regression problems with a genetic fuzzy rule ordinal algorithm. 13-28 - Jimmy Ming-Tai Wu, Meng-Hsiun Tsai, Yong Zhi Huang, SK Hafizul Islam, Mohammad Mehedi Hassan, Abdulhameed Alelaiwi, Giancarlo Fortino:
Applying an ensemble convolutional neural network with Savitzky-Golay filter to construct a phonocardiogram prediction model. 29-40 - Hao Pu, Taoran Song, Paul M. Schonfeld, Wei Li, Hong Zhang, Jianping Hu, Xianbao Peng, Jie Wang:
Mountain railway alignment optimization using stepwise & hybrid particle swarm optimization incorporating genetic operators. 41-57 - Yago Saez, César Estébanez, David Quintana, Pedro Isasi:
Evolutionary hash functions for specific domains. 58-69 - Sajjan Kumar, Kamal K. Mandal, Niladri Chakraborty:
Optimal DG placement by multi-objective opposition based chaotic differential evolution for techno-economic analysis. 70-83 - Corey Maryan, Md. Tamjidul Hoque, Christopher J. Michael, Elias Ioup, Mahdi Abdelguerfi:
Machine learning applications in detecting rip channels from images. 84-93 - Yu-Hui Zhang, Yue-Jiao Gong, Huaqiang Yuan, Jun Zhang:
A tree-structured random walking swarm optimizer for multimodal optimization. 94-108 - Hao Wu, Haiming Long, Jiancheng Jiang:
Handling forecasting problems based on fuzzy time series model and model error learning. 109-118 - Jifei Deng, Jie Sun, Wen Peng, Yaohui Hu, Dian-hua Zhang:
Application of neural networks for predicting hot-rolled strip crown. 119-131 - Bin Zhao, Yi Ren, Diankui Gao, Lizhi Xu:
Prediction of service life of large centrifugal compressor remanufactured impeller based on clustering rough set and fuzzy Bandelet neural network. 132-140 - Seba Susan, Amitesh Kumar:
SSOMaj-SMOTE-SSOMin: Three-step intelligent pruning of majority and minority samples for learning from imbalanced datasets. 141-149 - Chao Luo, Chenhao Tan, Xingyuan Wang, Yuanjie Zheng:
An evolving recurrent interval type-2 intuitionistic fuzzy neural network for online learning and time series prediction. 150-163 - Muhammad Tanveer, Aruna Tiwari, Rahul Choudhary, Sanchit Jalan:
Sparse pinball twin support vector machines. 164-175 - Hongtao Tang, Rong Chen, Yibing Li, Zhao Peng, Shunsheng Guo, Yuzhu Du:
Flexible job-shop scheduling with tolerated time interval and limited starting time interval based on hybrid discrete PSO-SA: An application from a casting workshop. 176-194 - Jing Li, Hong Fang, Wenyan Song:
Modified failure mode and effects analysis under uncertainty: A rough cloud theory-based approach. 195-208 - Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, Gerald Schaefer:
Effective image clustering based on human mental search. 209-220 - Sumit Kumar Jeswal, Snehashish Chakraverty:
Connectionist model for solving static structural problems with fuzzy parameters. 221-229 - Debajyoty Banik, Asif Ekbal, Pushpak Bhattacharyya, Siddhartha Bhattacharyya:
Assembling translations from multi-engine machine translation outputs. 230-239 - Xiaofei Wang, Hui Zhao, Tong Han, Huan Zhou, Cong Li:
A grey wolf optimizer using Gaussian estimation of distribution and its application in the multi-UAV multi-target urban tracking problem. 240-260 - Ling-Ling Li, Xin-Bao Zhang, Ming-Lang Tseng, Ya-Tong Zhou:
Optimal scale Gaussian process regression model in Insulated Gate Bipolar Transistor remaining life prediction. 261-273 - Julio Benítez, Silvia Carpitella, Antonella Certa, Joaquín Izquierdo:
Management of uncertain pairwise comparisons in AHP through probabilistic concepts. 274-285 - Xianshuang Yao, Zhanshan Wang:
An intelligent interconnected network with multiple reservoir computing. 286-295 - Jujie Wang, Yaning Li:
An innovative hybrid approach for multi-step ahead wind speed prediction. 296-309 - Bahram Farhadinia, Enrique Herrera-Viedma:
Multiple criteria group decision making method based on extended hesitant fuzzy sets with unknown weight information. 310-323 - Mahdi Hashemzadeh, Amin Golzari Oskouei, Nacer Farajzadeh:
New fuzzy C-means clustering method based on feature-weight and cluster-weight learning. 324-345 - Mamta Mittal, Lalit Mohan Goyal, Sumit Kaur, Iqbaldeep Kaur, Amit Verma, D. Jude Hemanth:
Deep learning based enhanced tumor segmentation approach for MR brain images. 346-354 - Yuchao Su, Jia Wang, Lijia Ma, Xiaozhou Wang, Qiuzhen Lin, Carlos A. Coello Coello, Jianyong Chen:
A hybridized angle-encouragement-based decomposition approach for many-objective optimization problems. 355-372 - Edwar Yazid, Matthew Garratt, Fendy Santoso:
Position control of a quadcopter drone using evolutionary algorithms-based self-tuning for first-order Takagi-Sugeno-Kang fuzzy logic autopilots. 373-392 - Wen Song, Jianjun Zhu:
A multistage risk decision making method for normal cloud model considering behavior characteristics. 393-406 - Jialing Li, Li Luo, Xingli Wu, Chengcheng Liao, Huchang Liao, Wenwu Shen:
Prioritizing the elective surgery patient admission in a Chinese public tertiary hospital using the hesitant fuzzy linguistic ORESTE method. 407-419 - Azadeh Gholami, Hossein Bonakdari, Pijush Samui, Majid Mohammadian, Bahram Gharabaghi:
Predicting stable alluvial channel profiles using emotional artificial neural networks. 420-437 - Yunyun Xie, Chaojie Li, Youjie Lv, Chen Yu:
Predicting lightning outages of transmission lines using generalized regression neural network. 438-446 - Rui Ding, Hongbin Dong, Jun He, Tao Li:
A novel two-archive strategy for evolutionary many-objective optimization algorithm based on reference points. 447-464 - A. Rezaee Jordehi:
Binary particle swarm optimisation with quadratic transfer function: A new binary optimisation algorithm for optimal scheduling of appliances in smart homes. 465-480 - Venkatesh Pandiri, Alok Singh:
An artificial bee colony algorithm with variable degree of perturbation for the generalized covering traveling salesman problem. 481-495 - Khalil Gholami, Ehsan Dehnavi:
A modified particle swarm optimization algorithm for scheduling renewable generation in a micro-grid under load uncertainty. 496-514 - Sibel Arslan, Celal Öztürk:
Multi Hive Artificial Bee Colony Programming for high dimensional symbolic regression with feature selection. 515-527 - Baotong Li, Honglei Liu, Wenjun Su:
Topology optimization techniques for mobile robot path planning. 528-544 - Hamza Yapici, Nurettin Çetinkaya:
A new meta-heuristic optimizer: Pathfinder algorithm. 545-568 - Zhao Wang, Maoguo Gong:
Dynamic deployment optimization of near space communication system using a novel estimation of distribution algorithm. 569-582 - Decui Liang, Yinrunjie Zhang, Zeshui Xu, Adam Jamaldeen:
Pythagorean fuzzy VIKOR approaches based on TODIM for evaluating internet banking website quality of Ghanaian banking industry. 583-594 - Zhen-Song Chen, Kwai-Sang Chin, Kwok-Leung Tsui:
Constructing the geometric Bonferroni mean from the generalized Bonferroni mean with several extensions to linguistic 2-tuples for decision-making. 595-613 - Chao Liu, Yuanrui Li, Qi Zhao, Chenqi Liu:
Reference vector-based multi-objective clustering for high-dimensional data. 614-629 - Saeid Soheily-Khah, Pierre-François Marteau:
Sparsification of the alignment path search space in dynamic time warping. 630-640 - Qiang Zhang, Dexuan Zou, Na Duan, Xin Shen:
An adaptive differential evolutionary algorithm incorporating multiple mutation strategies for the economic load dispatch problem. 641-669 - Kuo-Wei Liao, Nophi Ian Delos Reyes Biton:
A heuristic optimization considering probabilistic constraints via an equivalent single variable Pearson distribution system. 670-684 - Huimin Tang, Peiwu Dong, Yong Shi:
A new approach of integrating piecewise linear representation and weighted support vector machine for forecasting stock turning points. 685-696 - Javier Ferrer, Manuel López-Ibáñez, Enrique Alba:
Reliable simulation-optimization of traffic lights in a real-world city. 697-711 - Shaojiang Deng, Shuyuan Jia, Jing Chen:
Exploring spatial-temporal relations via deep convolutional neural networks for traffic flow prediction with incomplete data. 712-721
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