nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A grey wolf optimizer using Gaussian estimation of distribution and its application in the multi-UAV multi-target urban tracking problem
|
Wang, Xiaofei |
|
2019 |
78 |
C |
p. 240-260 |
artikel |
2 |
A heuristic optimization considering probabilistic constraints via an equivalent single variable Pearson distribution system
|
Liao, Kuo-Wei |
|
2019 |
78 |
C |
p. 670-684 |
artikel |
3 |
A hybridized angle-encouragement-based decomposition approach for many-objective optimization problems
|
Su, Yuchao |
|
2019 |
78 |
C |
p. 355-372 |
artikel |
4 |
A modified particle swarm optimization algorithm for scheduling renewable generation in a micro-grid under load uncertainty
|
Gholami, Khalil |
|
2019 |
78 |
C |
p. 496-514 |
artikel |
5 |
A multistage risk decision making method for normal cloud model considering behavior characteristics
|
Song, Wen |
|
2019 |
78 |
C |
p. 393-406 |
artikel |
6 |
An adaptive differential evolutionary algorithm incorporating multiple mutation strategies for the economic load dispatch problem
|
Zhang, Qiang |
|
2019 |
78 |
C |
p. 641-669 |
artikel |
7 |
An approximation to solve regression problems with a genetic fuzzy rule ordinal algorithm
|
Gámez, Juan Carlos |
|
2019 |
78 |
C |
p. 13-28 |
artikel |
8 |
An artificial bee colony algorithm with variable degree of perturbation for the generalized covering traveling salesman problem
|
Pandiri, Venkatesh |
|
2019 |
78 |
C |
p. 481-495 |
artikel |
9 |
An evolving recurrent interval type-2 intuitionistic fuzzy neural network for online learning and time series prediction
|
Luo, Chao |
|
2019 |
78 |
C |
p. 150-163 |
artikel |
10 |
A new approach of integrating piecewise linear representation and weighted support vector machine for forecasting stock turning points
|
Tang, Huimin |
|
2019 |
78 |
C |
p. 685-696 |
artikel |
11 |
A new meta-heuristic optimizer: Pathfinder algorithm
|
Yapici, Hamza |
|
2019 |
78 |
C |
p. 545-568 |
artikel |
12 |
An innovative hybrid approach for multi-step ahead wind speed prediction
|
Wang, Jujie |
|
2019 |
78 |
C |
p. 296-309 |
artikel |
13 |
An intelligent interconnected network with multiple reservoir computing
|
Yao, Xianshuang |
|
2019 |
78 |
C |
p. 286-295 |
artikel |
14 |
A novel two-archive strategy for evolutionary many-objective optimization algorithm based on reference points
|
Ding, Rui |
|
2019 |
78 |
C |
p. 447-464 |
artikel |
15 |
Application of neural networks for predicting hot-rolled strip crown
|
Deng, Jifei |
|
2019 |
78 |
C |
p. 119-131 |
artikel |
16 |
Applying an ensemble convolutional neural network with Savitzky–Golay filter to construct a phonocardiogram prediction model
|
Wu, Jimmy Ming-Tai |
|
2019 |
78 |
C |
p. 29-40 |
artikel |
17 |
Assembling translations from multi-engine machine translation outputs
|
Banik, Debajyoty |
|
2019 |
78 |
C |
p. 230-239 |
artikel |
18 |
A tree-structured random walking swarm optimizer for multimodal optimization
|
Zhang, Yu-Hui |
|
2019 |
78 |
C |
p. 94-108 |
artikel |
19 |
Binary particle swarm optimisation with quadratic transfer function: A new binary optimisation algorithm for optimal scheduling of appliances in smart homes
|
Jordehi, A. Rezaee |
|
2019 |
78 |
C |
p. 465-480 |
artikel |
20 |
Connectionist model for solving static structural problems with fuzzy parameters
|
Jeswal, S.K. |
|
2019 |
78 |
C |
p. 221-229 |
artikel |
21 |
Constructing the geometric Bonferroni mean from the generalized Bonferroni mean with several extensions to linguistic 2-tuples for decision-making
|
Chen, Zhen-Song |
|
2019 |
78 |
C |
p. 595-613 |
artikel |
22 |
Deep learning based enhanced tumor segmentation approach for MR brain images
|
Mittal, Mamta |
|
2019 |
78 |
C |
p. 346-354 |
artikel |
23 |
Dynamic deployment optimization of near space communication system using a novel estimation of distribution algorithm
|
Wang, Zhao |
|
2019 |
78 |
C |
p. 569-582 |
artikel |
24 |
Editorial Board
|
|
|
2019 |
78 |
C |
p. ii |
artikel |
25 |
Effective image clustering based on human mental search
|
Mousavirad, Seyed Jalaleddin |
|
2019 |
78 |
C |
p. 209-220 |
artikel |
26 |
Evolutionary hash functions for specific domains
|
Saez, Yago |
|
2019 |
78 |
C |
p. 58-69 |
artikel |
27 |
Exploring spatial–temporal relations via deep convolutional neural networks for traffic flow prediction with incomplete data
|
Deng, Shaojiang |
|
2019 |
78 |
C |
p. 712-721 |
artikel |
28 |
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
|
Tang, Hongtao |
|
2019 |
78 |
C |
p. 176-194 |
artikel |
29 |
Handling forecasting problems based on fuzzy time series model and model error learning
|
Wu, Hao |
|
2019 |
78 |
C |
p. 109-118 |
artikel |
30 |
Integrating simplified swarm optimization with AHP for solving capacitated military logistic depot location problem
|
Lai, Chyh-Ming |
|
2019 |
78 |
C |
p. 1-12 |
artikel |
31 |
Machine learning applications in detecting rip channels from images
|
Maryan, Corey |
|
2019 |
78 |
C |
p. 84-93 |
artikel |
32 |
Management of uncertain pairwise comparisons in AHP through probabilistic concepts
|
Benítez, J. |
|
2019 |
78 |
C |
p. 274-285 |
artikel |
33 |
Modified failure mode and effects analysis under uncertainty: A rough cloud theory-based approach
|
Li, Jing |
|
2019 |
78 |
C |
p. 195-208 |
artikel |
34 |
Mountain railway alignment optimization using stepwise & hybrid particle swarm optimization incorporating genetic operators
|
Pu, Hao |
|
2019 |
78 |
C |
p. 41-57 |
artikel |
35 |
Multi Hive Artificial Bee Colony Programming for high dimensional symbolic regression with feature selection
|
Arslan, Sibel |
|
2019 |
78 |
C |
p. 515-527 |
artikel |
36 |
Multiple criteria group decision making method based on extended hesitant fuzzy sets with unknown weight information
|
Farhadinia, Bahram |
|
2019 |
78 |
C |
p. 310-323 |
artikel |
37 |
New fuzzy C-means clustering method based on feature-weight and cluster-weight learning
|
Hashemzadeh, Mahdi |
|
2019 |
78 |
C |
p. 324-345 |
artikel |
38 |
Optimal DG placement by multi-objective opposition based chaotic differential evolution for techno-economic analysis
|
Kumar, Sajjan |
|
2019 |
78 |
C |
p. 70-83 |
artikel |
39 |
Optimal scale Gaussian process regression model in Insulated Gate Bipolar Transistor remaining life prediction
|
Li, Ling-Ling |
|
2019 |
78 |
C |
p. 261-273 |
artikel |
40 |
Position control of a quadcopter drone using evolutionary algorithms-based self-tuning for first-order Takagi–Sugeno–Kang fuzzy logic autopilots
|
Yazid, Edwar |
|
2019 |
78 |
C |
p. 373-392 |
artikel |
41 |
Predicting lightning outages of transmission lines using generalized regression neural network
|
Xie, Yunyun |
|
2019 |
78 |
C |
p. 438-446 |
artikel |
42 |
Predicting stable alluvial channel profiles using emotional artificial neural networks
|
Gholami, Azadeh |
|
2019 |
78 |
C |
p. 420-437 |
artikel |
43 |
Prediction of service life of large centrifugal compressor remanufactured impeller based on clustering rough set and fuzzy Bandelet neural network
|
zhao, Bin |
|
2019 |
78 |
C |
p. 132-140 |
artikel |
44 |
Prioritizing the elective surgery patient admission in a Chinese public tertiary hospital using the hesitant fuzzy linguistic ORESTE method
|
Li, Jialing |
|
2019 |
78 |
C |
p. 407-419 |
artikel |
45 |
Pythagorean fuzzy VIKOR approaches based on TODIM for evaluating internet banking website quality of Ghanaian banking industry
|
Liang, Decui |
|
2019 |
78 |
C |
p. 583-594 |
artikel |
46 |
Reference vector-based multi-objective clustering for high-dimensional data
|
Liu, Chao |
|
2019 |
78 |
C |
p. 614-629 |
artikel |
47 |
Reliable simulation-optimization of traffic lights in a real-world city
|
Ferrer, Javier |
|
2019 |
78 |
C |
p. 697-711 |
artikel |
48 |
Sparse pinball twin support vector machines
|
Tanveer, M. |
|
2019 |
78 |
C |
p. 164-175 |
artikel |
49 |
Sparsification of the alignment path search space in dynamic time warping
|
Soheily-Khah, Saeid |
|
2019 |
78 |
C |
p. 630-640 |
artikel |
50 |
SSO Maj -SMOTE- SSO Min : Three-step intelligent pruning of majority and minority samples for learning from imbalanced datasets
|
Susan, Seba |
|
2019 |
78 |
C |
p. 141-149 |
artikel |
51 |
Topology optimization techniques for mobile robot path planning
|
Li, Baotong |
|
2019 |
78 |
C |
p. 528-544 |
artikel |