Lecture Notes in Computer Science - Advances in Swarm Intelligence
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Published By Springer International Publishing

9783030788100, 9783030788117

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Toward Swarm Robots Tracking: A Constrained Gaussian Condensation Filter Method

Lecture Notes in Computer Science - Advances in Swarm Intelligence ◽

10.1007/978-3-030-78811-7_13 ◽

2021 ◽

pp. 129-136

Author(s):

Shihong Duan ◽

Hang Wu ◽

Cheng Xu ◽

Jiawang Wan

Keyword(s):

Filter Method ◽

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Dynamic Multi-objective Optimization via Sliding Time Window and Parallel Computing

Lecture Notes in Computer Science - Advances in Swarm Intelligence ◽

10.1007/978-3-030-78811-7_5 ◽

2021 ◽

pp. 45-57

Author(s):

Qinqin Fan ◽

Yihao Wang ◽

Okan K. Ersoy ◽

Ning Li ◽

Zhenzhong Chu

Keyword(s):

Parallel Computing ◽

Time Window ◽

Multi Objective Optimization ◽

Multi Objective

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Artificial Fish Swarm Algorithm for Mining High Utility Itemsets

Lecture Notes in Computer Science - Advances in Swarm Intelligence ◽

10.1007/978-3-030-78811-7_38 ◽

2021 ◽

pp. 407-419

Author(s):

Wei Song ◽

Junya Li ◽

Chaomin Huang

Keyword(s):

Artificial Fish Swarm Algorithm ◽

Artificial Fish Swarm ◽

Swarm Algorithm ◽

High Utility ◽

High Utility Itemsets

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Mining Neighbor Frames for Person Re-identification by Global Optimal Tracking

Lecture Notes in Computer Science - Advances in Swarm Intelligence ◽

10.1007/978-3-030-78811-7_37 ◽

2021 ◽

pp. 391-406

Author(s):

Kai Han ◽

Jinho Lee ◽

Lang Huang ◽

Fangcheng Liu ◽

Seiichi Uchida ◽

...

Keyword(s):

Optimal Tracking ◽

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Non-singular Finite-Time Consensus Tracking Protocols for Second-Order Multi-agent Systems

Lecture Notes in Computer Science - Advances in Swarm Intelligence ◽

10.1007/978-3-030-78811-7_18 ◽

2021 ◽

pp. 182-192

Author(s):

Yao Zou ◽

Wenfu Yang ◽

Zixuan Wang ◽

Keping Long ◽

Wei He

Keyword(s):

Finite Time ◽

Second Order ◽

Multi Agent Systems ◽

Agent Systems ◽

Consensus Tracking ◽

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A Hybrid Wind Speed Prediction Model Based on Signal Decomposition and Deep 1DCNN

Lecture Notes in Computer Science - Advances in Swarm Intelligence ◽

10.1007/978-3-030-78811-7_26 ◽

2021 ◽

pp. 272-281

Author(s):

Yuhui Wang ◽

Qingjian Ni ◽

Shuai Zhao ◽

Meng Zhang ◽

Chenxin Shen

Keyword(s):

Prediction Model ◽

Signal Decomposition ◽

Wind Speed Prediction ◽

Model Based ◽

Speed Prediction

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Real-Time Sea Cucumber Detection Based on YOLOv4-Tiny and Transfer Learning Using Data Augmentation

Lecture Notes in Computer Science - Advances in Swarm Intelligence ◽

10.1007/978-3-030-78811-7_12 ◽

2021 ◽

pp. 119-128

Author(s):

Thao NgoGia ◽

Yinghao Li ◽

Daopeng Jin ◽

Jinyuan Guo ◽

Jiang Li ◽

...

Keyword(s):

Real Time ◽

Transfer Learning ◽

Sea Cucumber ◽

Data Augmentation ◽

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Deep Reinforcement Learning for Dynamic Scheduling of Two-Stage Assembly Flowshop

Lecture Notes in Computer Science - Advances in Swarm Intelligence ◽

10.1007/978-3-030-78811-7_25 ◽

2021 ◽

pp. 263-271

Author(s):

Xin Lin ◽

Jian Chen

Keyword(s):

Reinforcement Learning ◽

Dynamic Scheduling ◽

Two Stage ◽

Assembly Flowshop

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Sequential Stacked AutoEncoder-Based Artificial Neural Network and Improved Sheep Optimization for Tool Wear Prediction

Lecture Notes in Computer Science - Advances in Swarm Intelligence ◽

10.1007/978-3-030-78811-7_31 ◽

2021 ◽

pp. 321-330

Author(s):

Fei Ding ◽

Mingyan Jiang ◽

Dongfeng Yuan ◽

Falei Ji ◽

Haiyan Yu

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Tool Wear ◽

Wear Prediction ◽

Stacked Autoencoder ◽

Tool Wear Prediction ◽

Artificial Neural

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Robotic Brain Storm Optimization: A Multi-target Collaborative Searching Paradigm for Swarm Robotics

Lecture Notes in Computer Science - Advances in Swarm Intelligence ◽

10.1007/978-3-030-78811-7_16 ◽

2021 ◽

pp. 155-167

Author(s):

Jian Yang ◽

Donghui Zhao ◽

Xinhao Xiang ◽

Yuhui Shi

Keyword(s):

Swarm Robotics ◽

Brain Storm Optimization

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