1 |
M. Xu, M. Zhang, X. Cai, and G. Zhang, "Adaptive neighbourhood size adjustment in MOEA/D-DRA," International Journal of Bio-Inspired Computation, vol. 17, no. 1, pp. 14-23, 2021.
DOI
|
2 |
Y. Yuan, H. Xu, B. Wang, B. Zhang, and X. Yao, "Balancing Convergence and Diversity in Decomposition-Based Many-Objective Optimizers," IEEE Transactions on Evolutionary Computation, vol. 20, no. 2, pp. 180-198, April 2016.
DOI
|
3 |
B.Wilson, J. P. M. Dhas, R. M. Sreedharan, and R. P. Krish, "Ensemble learning-based classification on local patches from magnetic resonance images to detect iron depositions in the brain" International Journal of Bio-Inspired Computation, vol. 17, no. 4, pp. 260-266, 2021.
DOI
|
4 |
H. Y. Kim, H. Jung, H. M. Kim, and H. J. Jeong, "Surfactin exerts an anti-cancer effect through inducing allergic reactions in melanoma skin cancer," International Immunopharmacology, vol. 99, no. 107934, Oct 2021.
DOI
|
5 |
Y. Jusman, I. M. Firdiantika, D. A. Dharmawan, and K. Purwanto, "Performance of Multi Layer Perceptron and Deep Neural Networks in Skin Cancer Classification," in Proc. of 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech), Nara, Japan, pp. 534-538, 9-11 March 2021.
|
6 |
M. G. Chen, W. J. Chen, W. Chen, L. Z. Cai, and G. Chai, "Skin Cancer Classification with Deep Convolutional Neural Networks," Journal of Medical Imaging and Health Informatics, vol. 10, no. 7, pp. 1707-1713, Jul 2020.
DOI
|
7 |
Y. Hu and X. Yan, "Neural network-assisted expensive optimisation algorithm for pollution source rapid positioning of drinking water," International Journal of Bio-Inspired Computation, vol. 17, no. 4, pp. 227-235, 2021.
DOI
|
8 |
X. Cai S. Geng, J. Zhang, D. Wu, Z. Cui, W. Zhang, and J. Chen, "A Sharding Scheme-Based Many-Objective Optimization Algorithm for Enhancing Security in Blockchain-Enabled Industrial Internet of Things," IEEE Transactions on Industrial Informatics, vol. 17, no. 11, pp. 7650-7658, Nov. 2021.
DOI
|
9 |
Z. Cui, F. Xue, S. Zhang, X. Cai, Y. Cao, W. Zhang, and J. Chen, "A Hybrid BlockChain-Based Identity Authentication Scheme for Multi-WSN," IEEE Transactions on Services Computing, vol. 13, no. 2, pp. 241-251, 1 March-April 2020.
DOI
|
10 |
F. Sattler, S. Wiedemann, K. -R. Muller, and W. Samek, "Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data," IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 9, pp. 3400-3413, Sept. 2020.
DOI
|
11 |
Q. Fan and X. Yan, "Differential evolution algorithm with self-adaptive strategy and control parameters for P-xylene oxidation process optimization," Soft computing, vol. 19, no. 5, pp. 1363-1391, May. 2015.
DOI
|
12 |
C. Guo, S. Su, K. R. Choo, and X. Tang, "A Fast Nearest Neighbor Search Scheme Over Outsourced Encrypted Medical Images," IEEE Transactions on Industrial Informatics, vol. 17, no. 1, pp. 514-523, Jan. 2021.
DOI
|
13 |
H. Chen, Y. Tian, W. Pedrycz, G. Wu, R. Wang, and L. Wang, "Hyperplane Assisted Evolutionary Algorithm for Many-Objective Optimization Problems," IEEE Transactions on Cybernetics, vol. 50, no. 7, pp. 3367-3380, July 2020.
DOI
|
14 |
W. Na, S. Yuchao, C. Xiaohong, L. Xia, and L. Dui, "A ∊-indicator-based shuffled frog leaping algorithm for many-objective optimization problems," Journal of Systems Engineering and Electronics, vol. 31, no. 1, pp. 142-155, Feb. 2020.
|
15 |
A. W. Setiawan, A. Faisal, and N. Resfita, "Effect of Image Downsizing and Color Reduction on Skin Cancer Pre-screening," in Proc. of 2020 International Seminar on Intelligent Technology and Its Applications (ISITIA), Surabaya, Indonesia, pp. 148-151, 22-23 July 2020.
|
16 |
Z. Zhang, Y. Cao, Z. Cui, W. Zhang, and J. Chen, "A Many-Objective Optimization Based Intelligent Intrusion Detection Algorithm for Enhancing Security of Vehicular Networks in 6G," IEEE Transactions on Vehicular Technology, vol. 70, no. 6, pp. 5234-5243, June 2021.
DOI
|
17 |
X. Peng, Y. Jin, and H. Wang, "Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization," IEEE Transactions on Cybernetics, vol. 49, no. 9, pp. 3507-3520, Sept. 2019.
DOI
|
18 |
K. Deb and H. Jain, "An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints," IEEE Transactions on Evolutionary Computation, vol. 18, no. 4, pp. 577-601, Aug. 2014.
DOI
|
19 |
S. X. Yang, M. Q. Li, X. H. Liu, and J. H. Zheng, "A Grid-Based Evolutionary Algorithm for Many-Objective Optimization," IEEE Transactions on Evolutionary Computation, Article vol. 17, no. 5, pp. 721-736, Oct 2013.
DOI
|
20 |
Y. Xiang, Y. Zhou, M. Li, and Z. Chen, "A Vector Angle-Based Evolutionary Algorithm for Unconstrained Many-Objective Optimization," IEEE Transactions on Evolutionary Computation, vol. 21, no. 1, pp. 131-152, Feb 2017.
DOI
|
21 |
W. Wang, S. Yang, Q. Lin, Q. Zhang, K. Wong, C. Coello, and J. Chen, "An Effective Ensemble Framework for Multiobjective Optimization," IEEE Transactions on Evolutionary Computation, vol. 23, no. 4, pp. 645-659, Aug. 2019.
DOI
|
22 |
Z. Zhang, M. Zhao, H. Wang, Z. Cui, and W. Zahng, " An efficient interval many-objective evolutionary algorithm for cloud task scheduling problem u nder uncertainty," Information Sciences, vol. 583, pp. 56-72, Jan, 2022.
DOI
|
23 |
M. A. Sabri, Y. Filali, H. El Khoukhi, and A. Aarab, "Skin Cancer Diagnosis Using an Improved Ensemble Machine Learning model," in Proc. of 2020 International Conference on Intelligent Systems and Computer Vision (ISCV), Fez, Morocco, pp. 1-5, 9-11 June 2020.
|
24 |
W. Deng, J. Xu, Y. Song, and H. Zhao, "An effective improved co-evolution ant colony optimisation algorithm with multi-strategies and its application" International Journal of Bio-Inspired Computation, vol. 16, no. 3, pp. 158-170, 2020.
DOI
|
25 |
Z. Cui, Y. Zhao, Y. Cao, X. Cai, W. Zhang, and J. Chen, "Malicious Code Detection under 5G HetNets Based on a Multi-Objective RBM Model," IEEE Network, vol. 35, no. 2, pp. 82-87, March/April 2021.
|
26 |
Z. J. Xiong, J. M. Yang, Z. Y. Hu, Z. W. Zhao, and X. J. Wang, "Evolutionary many-objective optimization algorithm based on angle and clustering," Applied Intelligence, vol. 51, no. 4, pp. 2045-2062, Apr 2021.
DOI
|
27 |
H. T. Zhao and C. S. Zhang, "An online-learning-based evolutionary many-objective algorithm," Information Sciences, vol. 509, pp. 1-21, Jan 2020.
DOI
|
28 |
X. Cai, S. Geng, D. Wu, J. Cai, and J. Chen, "A Multicloud-Model-Based Many-Objective Intelligent Algorithm for Efficient Task Scheduling in Internet of Things," IEEE Internet of Things Journal, vol. 8, no. 12, pp. 9645-9653, 2021.
DOI
|
29 |
Y. Xie, J. Zhang, Y. Xia, and C. Shen, "A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification," IEEE Transactions on Medical Imaging, vol. 39, no. 7, pp. 2482-2493, July 2020.
DOI
|
30 |
C. Xu, A. S. Ding, and S. S. Liao, "A privacy-preserving recommendation method based on multi-objective optimisation for mobile users," International Journal of Bio-Inspired Computation, vol. 16, no. 1, pp. 23-32, 2020.
DOI
|
31 |
Y. Wang, P. Wang, J. Zhang, X. Cai, W. Li, and Y. Ma, "A novel DV-Hop method based on coupling algorithm used for wireless sensor network localization," International Journal of Wireless and Mobile Computing, vol. 16, no. 2, pp. 128-137, 2019.
DOI
|
32 |
H. Younis, M. H. Bhatti, and M. Azeem, "Classification of Skin Cancer Dermoscopy Images using Transfer Learning," in Proc. of 2019 15th International Conference on Emerging Technologies (ICET), Peshawar, Pakistan, pp. 1-4, 2-3 Dec. 2019.
|
33 |
J. Yuan, H. -L. Liu, F. Gu, Q. Zhang, and Z. He, "Investigating the Properties of Indicators and an Evolutionary Many-Objective Algorithm Using Promising Regions," IEEE Transactions on Evolutionary Computation, vol. 25, no. 1, pp. 75-86, Feb. 2021.
DOI
|
34 |
J. H. Li, G. Y. Chen, M. Li, and H. Chen, "An enhanced-indicator based many-objective evolutionary algorithm with adaptive reference point," Swarm and Evolutionary Computation, vol. 55, no. 100669, Jun 2020.
|
35 |
S. R. Konda, L. K. Panwar, B. K. Panigrahi, R. Kumar, and V. Gupta, "Binary fireworks algorithm application for optimal schedule of electric vehicle reserve in traditional and restructured electricity markets," International Journal of Bio-Inspired Computation, vol. 18, no. 1, pp. 38-48, 2021.
DOI
|
36 |
X. Y. Zhang, Y. Tian, and Y. C. Jin, "A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization," IEEE Transactions on Evolutionary Computation, Article vol. 19, no. 6, pp. 761-776, Dec 2015.
DOI
|
37 |
K. Bin, S. Luo, X. Zhang, J. Lin, and X. Tong, "Compressive Data Gathering With Generative Adversarial Networks for Wireless Geophone Networks," IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 3, pp. 558-562, March 2021.
DOI
|
38 |
X. Cai, Y. Lan, Z. Zhang, J. Wen, Z. Cui, and W. S. Zhang, "A Many-objective Optimization based Federal Deep Generation Model for Enhancing Data Processing Capability in IOT," IEEE Transactions on Industrial Informatics, 2021.
|
39 |
J. Hoehn A. Hekler, E. Krieghoff-Henning, JN. Kather, JS. Utikal, F. Meier, FF. Gellrich, A. Hauschild, L. French, J. Schlager, K. Ghoreschi, T. Wilhelm, H. Kutzner, M. Heppt, S. Haferkamp, W. Sondermann, D. Schadendorf, B. Schilling, R. Maron, M. Schmitt, T. Jutzi, S. Froehling, D. Lipka, and T. Brinker, "Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review," Journal of Medical Internet Research, Review, vol. 23, no. 7, pp. 14, Jul 2021.
|