Swarm and Evolutionary Computation, Volume 49

Volume 49, September 2019

Research Papers

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  Marwa Chabbouh, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
  Multi-objective evolution of oblique decision trees for imbalanced data binary classification. 1-22

Special Issue on Theory and Applications for Evolutionary Multi-Criteria Decision-Making

• 
  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

Research Papers

• 
  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

Special Issue on Novel Swarm Intelligence Models, Algorithms and Their Applications

• 
  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

Special Issue on Benchmarking Multi and Many Objective Evolutionary Algorithms on Challenging Test Problems

• 
  Okkes Tolga Altinöz:
  The distributed many-objective economic/emission load dispatch benchmark problem. 102-113

Special Issue on Advances on theory and application for bio-inspired swarm and evolutionary computations

• 
  Yulong Wang, Haoxin Zhang, Guangwei Zhang:
  cPSO-CNN: An efficient PSO-based algorithm for fine-tuning hyper-parameters of convolutional neural networks. 114-123

Special Issue on Novel Swarm Intelligence Models, Algorithms and Their Applications

• 
  Xiaoyan Sun, Lin Zhao, Pengfei Zhang, Lin Bao, Yang Chen:
  Enhanced NSGA-II with evolving directions prediction for interval multi-objective optimization. 124-133

Research Papers

• 
  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

Special Issue on Advances on theory and application for bio-inspired swarm and evolutionary computations

• 
  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

Special Issue on Theory and Applications for Evolutionary Multi-Criteria Decision-Making

• 
  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

Research Papers

• 
  Bin Xu, Haifeng Zhang, Meihua Zhang, Lilan Liu:
  Differential evolution using cooperative ranking-based mutation operators for constrained optimization. 206-219

Special Issue on Theory and Applications for Evolutionary Multi-Criteria Decision-Making

• 
  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

Special Issue on Advances on theory and application for bio-inspired swarm and evolutionary computations

• 
  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

Research Papers

• 
  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