Dynamic Distributed Genetic Algorithm Using Hierarchical Clustering for Flight Trajectory Optimization of Winged Rocket

2013 12th International Conference on Machine Learning and Applications ◽

10.1109/icmla.2013.60 ◽

2013 ◽

Author(s):

S. Miyamoto ◽

T. Matsumoto ◽

K. Yonemoto

Keyword(s):

Genetic Algorithm ◽

Hierarchical Clustering ◽

Trajectory Optimization ◽

Flight Trajectory ◽

Distributed Genetic Algorithm

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Research on Flight Trajectory Optimization Based on Quantum Genetic Algorithm

Journal of Physics Conference Series ◽

10.1088/1742-6596/1549/2/022074 ◽

2020 ◽

Vol 1549 ◽

pp. 022074

Author(s):

Yibo Li ◽

Shuaitao Qin ◽

Lei Jing

Keyword(s):

Genetic Algorithm ◽

Trajectory Optimization ◽

Flight Trajectory ◽

Quantum Genetic Algorithm

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Performance Improvement of Hierarchical Fitness Calculation for Optimal Flight Trajectory Generation Using Dynamically Distributed Genetic Algorithm

The Proceedings of Conference of Kyushu Branch ◽

10.1299/jsmekyushu.2019.72.c26 ◽

2019 ◽

Vol 2019.72 (0) ◽

pp. C26

Author(s):

Satoshi HIRAKIDA ◽

Koichi YONEMOTO ◽

Takahiro FUJIKAWA ◽

Masatomo ICHIGE ◽

Kazuki KURIMOTO

Keyword(s):

Genetic Algorithm ◽

Performance Improvement ◽

Trajectory Generation ◽

Flight Trajectory ◽

Distributed Genetic Algorithm ◽

Fitness Calculation

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Dynamically Distributed Genetic Algorithm and Its Application to Diversely Selectable Trajectory Optimization of Winged Rockets

TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN ◽

10.2322/tastj.12.37 ◽

2014 ◽

Vol 12 (0) ◽

pp. 37-46

Author(s):

Shintaro MIYAMOTO ◽

Takaaki MATSUMOTO ◽

Koichi YONEMOTO

Keyword(s):

Genetic Algorithm ◽

Trajectory Optimization ◽

Distributed Genetic Algorithm

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Performance Improvement of Real-Time Flight Trajectory Generation Using Dynamically Distributed Genetic Algorithm

The Proceedings of Conference of Kyushu Branch ◽

10.1299/jsmekyushu.2017.70.1104 ◽

2017 ◽

Vol 2017.70 (0) ◽

pp. 1104

Author(s):

Satoshi HIRAKIDA ◽

Koichi YONEMOTO ◽

Takahiro FUJIKAWA ◽

Masatomo ICHIGE

Keyword(s):

Genetic Algorithm ◽

Real Time ◽

Performance Improvement ◽

Trajectory Generation ◽

Flight Trajectory ◽

Distributed Genetic Algorithm

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Multiobjective VLSI cell placement using distributed genetic algorithm

Proceedings of the 2005 conference on Genetic and evolutionary computation - GECCO '05 ◽

10.1145/1068009.1068271 ◽

2005 ◽

Author(s):

Sadiq M. Sait ◽

Mohammed Faheemuddin ◽

Mahmood R. Minhas ◽

Syed Sanaullah

Keyword(s):

Genetic Algorithm ◽

Cell Placement ◽

Distributed Genetic Algorithm

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Unsupervised hierarchical clustering via a genetic algorithm

The 2003 Congress on Evolutionary Computation, 2003. CEC '03. ◽

10.1109/cec.2003.1299776 ◽

2004 ◽

Author(s):

W.A. Greene

Keyword(s):

Genetic Algorithm ◽

Hierarchical Clustering

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A Solving Method for Message Filtering Mechanism of CAN System Based on Distributed Genetic Algorithm

The Proceedings of the Multiconference on "Computational Engineering in Systems Applications" ◽

10.1109/cesa.2006.4281701 ◽

2006 ◽

Author(s):

Yong Liu ◽

Chengde Tong ◽

Weiming Tong

Keyword(s):

Genetic Algorithm ◽

Distributed Genetic Algorithm

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Asynchronous Parallel Distributed Genetic Algorithm by Layered Server-Client Model

Transactions of the Institute of Systems Control and Information Engineers ◽

10.5687/iscie.22.1 ◽

2009 ◽

Vol 22 (1) ◽

pp. 1-12 ◽

Author(s):

Kazunori Kojima ◽

Masaaki Ishigame ◽

Shozo Makino

Keyword(s):

Genetic Algorithm ◽

Distributed Genetic Algorithm ◽

Asynchronous Parallel

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Upper limb rehabilitation trajectory optimization based on artificial immune genetic algorithm

The 27th Chinese Control and Decision Conference (2015 CCDC) ◽

10.1109/ccdc.2015.7162174 ◽

2015 ◽

Author(s):

Zhu Xuefeng ◽

Wang Jianhui ◽

Wang Xiaofeng

Keyword(s):

Genetic Algorithm ◽

Trajectory Optimization ◽

Artificial Immune ◽

Immune Genetic Algorithm ◽

Upper Limb Rehabilitation ◽

Limb Rehabilitation

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A Hybrid Simulation System Based on Particle Swarm Optimization and Distributed Genetic Algorithm for WMNs: Performance Evaluation Considering Normal and Uniform Distribution of Mesh Clients

Advances in Network-Based Information Systems - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-319-98530-5_4 ◽

2018 ◽

pp. 42-55 ◽

Author(s):

Admir Barolli ◽

Shinji Sakamoto ◽

Leonard Barolli ◽

Makoto Takizawa

Keyword(s):

Genetic Algorithm ◽

Particle Swarm Optimization ◽

Performance Evaluation ◽

Uniform Distribution ◽

Particle Swarm ◽

Hybrid Simulation ◽

Simulation System ◽

Swarm Optimization ◽

Distributed Genetic Algorithm ◽

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