Computational Intelligence and Intelligent Systems

1. Front Matter

   Pages I-XI

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2. Nature-Inspired Computing

   1. Front Matter

      Pages 1-1

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   2. Solve the IRP Problem with an Improved PSO

      • Zelin Wang, Shi Cheng, Hu Peng

      Pages 3-16

   3. Artificial Bee Colony Algorithm Based on Uniform Local Search

      • Yan Zhang, Hu Peng, Changshou Deng, Xiaojing Wang, Haiyan Huang, Xujie Tan

      Pages 17-26

   4. An Improved Firefly Algorithm Hybrid with Fireworks

      • Xiaojing Wang, Hu Peng, Changshou Deng, Lixian Li, Likun Zheng

      Pages 27-37

   5. Enhanced Fireworks Algorithm with an Improved Gaussian Sparks Operator

      • Jinglei Guo, Wei Liu

      Pages 38-49

   6. A Binary Particle Swarm Optimization for Solving the Bounded Knapsack Problem

      • Ya Li, Yichao He, Huanzhe Li, Xiaohu Guo, Zewen Li

      Pages 50-60

3. Bio-Inspired Computing

   1. Front Matter

      Pages 61-61

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   2. A New Multi-strategy Ensemble Artificial Bee Colony Algorithm for Water Demand Prediction

      • Hui Wang, Wenjun Wang

      Pages 63-70

   3. Approximate Backbone Subsection Optimization Algorithm for the Traveling Salesman Problem

      • Feipeng Wang, Hu Peng, Changshou Deng, Xujie Tan, Likun Zheng

      Pages 71-80

   4. A Computing Model for Four-Valued Logic AND Gate Based on DNA Origami and DNA Displacement

      • Zhen Tang, Zhixiang Yin, Xia Sun, Jing Yang, Jianzhong Cui

      Pages 81-90

   5. 0-1 Integer Programming Based on DNA Tetrahedral Probe

      • Jing Yang, Xinmu Yang, Zhixiang Yin, Zhang Qiang, Jianzhong Cui

      Pages 91-100

   6. A Novel Discrete Grey Wolf Optimizer for Solving the Bounded Knapsack Problem

      • Zewen Li, Yichao He, Huanzhe Li, Ya Li, Xiaohu Guo

      Pages 101-114

4. Novel Operators in Evolutionary Algorithms

   1. Front Matter

      Pages 115-115

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   2. Causes of the Imbalance Between Exploration and Exploitation in Evolutionary Computation

      • Zhe Chen, Chengjun Li

      Pages 117-131

   3. Analysis of Optimization Capability of Selection Operator for DE Algorithm

      • Huichao Liu, Fengying Yang

      Pages 132-141

   4. A New Quantum Evolutionary Algorithm in 0-1 Knapsack Problem

      • Jialin Li, Wei Li

      Pages 142-151

   5. A General Selection Method for Mutation Strategy in Differential Evolution

      • Dahai Xia, Song Lin, Meng Yan, Caiquan Xiong, Yuanxiang Li

      Pages 152-161

5. Automatic Object Segmentation and Detection, and Image Colorization

   1. Front Matter

      Pages 163-163

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   2. An Enhanced Region-Based Model for Segmentation Images with Intensity Inhomogeneity

      • Haiping Yu, Xiaoli Lin

      Pages 165-176

This book constitutes the thoroughly refereed proceedings of the 10th International Symposium, ISICA 2018, held in Jiujiang, China, in October 2018.The 32 full papers presented were carefully reviewed and selected from 83 submissions. The papers are organized in topical sections on nature-inspired computing; bio-inspired computing; novel operators in evolutionary algorithms; automatic object segmentation and detection; and image colorization; multilingual automatic document classication and translation; knowledge-based articial intelligence; predictive data mining.

• artificial intelligence
• clustering
• evolutionary algorithms
• genetic algorithms
• image processing
• image segmentation
• integer programming
• Particle Swarm Optimization (PSO)
• problem solving
• signal processing
• algorithm analysis and problem complexity

• School of Information Science and Technology, Jiujiang University, Jiujiang, China

  Hu Peng, Changshou Deng

• School of Computer, Wuhan University, Wuhan, China

  Zhijian Wu

• School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

  Yong Liu

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