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ORCIDSwarm and Evolutionary Computation, Volume 49
Volume 49, September 2019
- Marwa Chabbouh
, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
Multi-objective evolution of oblique decision trees for imbalanced data binary classification. 1-22
- Zhihua Cui, Yu Chang, Jiangjiang Zhang, Xingjuan Cai, Wensheng Zhang:
Improved NSGA-III with selection-and-elimination operator. 23-33 - Ming Li, De-Ming Lei, Jingcao Cai:
Two-level imperialist competitive algorithm for energy-efficient hybrid flow shop scheduling problem with relative importance of objectives. 34-43
- Prathap Siddavaatam, Reza Sedaghat:
Grey Wolf Optimizer Driven design space exploration: A novel framework for multi-objective trade-off in architectural synthesis. 44-61 - Francisco Erivaldo Fernandes Junior, Gary G. Yen:
Particle swarm optimization of deep neural networks architectures for image classification. 62-74 - HyukGeun Choi, Jinhyun Kim, Yourim Yoon, Byung-Ro Moon:
Investigation of incremental hybrid genetic algorithm with subgraph isomorphism problem. 75-86
- Ben Niu, Lijing Tan, Jing Liu, Jia Liu, Wenjie Yi, Hong Wang:
Cooperative bacterial foraging optimization method for multi-objective multi-echelon supply chain optimization problem. 87-101
- Okkes Tolga Altinöz:
The distributed many-objective economic/emission load dispatch benchmark problem. 102-113
- Yulong Wang, Haoxin Zhang, Guangwei Zhang:
cPSO-CNN: An efficient PSO-based algorithm for fine-tuning hyper-parameters of convolutional neural networks. 114-123
- Xiaoyan Sun, Lin Zhao, Pengfei Zhang, Lin Bao, Yang Chen:
Enhanced NSGA-II with evolving directions prediction for interval multi-objective optimization. 124-133
- Ryoji Tanabe, Hisao Ishibuchi:
A niching indicator-based multi-modal many-objective optimizer. 134-146 - Amr Abdelhafez, Enrique Alba, Gabriel Luque:
Performance analysis of synchronous and asynchronous distributed genetic algorithms on multiprocessors. 147-157 - Min-Rong Chen, Jun-Han Chen, Guo-Qiang Zeng, Kang-Di Lu, Xin-Fa Jiang:
An improved artificial bee colony algorithm combined with extremal optimization and Boltzmann Selection probability. 158-177
- Xinye Cai, Mi Hu, Dunwei Gong, Yi-Nan Guo, Yong Zhang, Zhun Fan, Yuhua Huang:
A decomposition-based coevolutionary multiobjective local search for combinatorial multiobjective optimization. 178-193
- Yan-Jie Song, Xin Ma, Xun-Jia Li, Lining Xing, Pei Wang:
Learning-guided nondominated sorting genetic algorithm II for multi-objective satellite range scheduling problem. 194-205
- Bin Xu, Haifeng Zhang, Meihua Zhang, Lilan Liu:
Differential evolution using cooperative ranking-based mutation operators for constrained optimization. 206-219
- Feng Wang, Yixuan Li, Heng Zhang, Ting Hu, Xiao-Liang Shen:
An adaptive weight vector guided evolutionary algorithm for preference-based multi-objective optimization. 220-233
- Zhihui Li, Li Shi, Caitong Yue, Zhigang Shang, Boyang Qu:
Differential evolution based on reinforcement learning with fitness ranking for solving multimodal multiobjective problems. 234-244
- Xinming Zhang, Qiang Kang, Xia Wang:
Hybrid biogeography-based optimization with shuffled frog leaping algorithm and its application to minimum spanning tree problems. 245-265 - Changsheng Zhang, Jiaxu Ning, Jiaxuan Wu, Bin Zhang:
A multi-objective optimization method for service composition problem with sharing property. 266-276
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