Document Clustering Using Multi-Objective Genetic Algorithms on MATLAB Distributed Computing

2012 International Conference on Information Science and Applications ◽

10.1109/icisa.2012.6220980 ◽

2012 ◽

Author(s):

Jung Song Lee ◽

Soon Cheol Park

Keyword(s):

Genetic Algorithms ◽

Distributed Computing ◽

Document Clustering ◽

Multi Objective

Download Full-text

Document Clustering Using Multi-Objective Genetic Algorithms with Parallel Programming Based on CUDA

Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics ◽

10.5220/0005057502800287 ◽

2014 ◽

Author(s):

Jung Song Lee ◽

Soon Cheol Park ◽

Jong Joo Lee ◽

Han Heeh Ham

Keyword(s):

Genetic Algorithms ◽

Parallel Programming ◽

Document Clustering ◽

Multi Objective

Download Full-text

The Document Clustering using Multi-Objective Genetic Algorithms

Journal of the Korea Industrial Information Systems Research ◽

10.9723/jksiis.2012.17.2.057 ◽

2012 ◽

Vol 17 (2) ◽

pp. 57-64

Author(s):

Jung-Song Lee ◽

Soon-Cheol Park

Keyword(s):

Genetic Algorithms ◽

Document Clustering ◽

Multi Objective

Download Full-text

Multi-Objective Genetic Algorithms, NSGA-II and SPEA2, for Document Clustering

Communications in Computer and Information Science - Software Engineering, Business Continuity, and Education ◽

10.1007/978-3-642-27207-3_22 ◽

2011 ◽

pp. 219-227 ◽

Author(s):

Jung Song Lee ◽

Lim Cheon Choi ◽

Soon Cheol Park

Keyword(s):

Genetic Algorithms ◽

Document Clustering ◽

Nsga Ii ◽

Multi Objective

Download Full-text

Multi-objective seismic design of BRBs-reinforced concrete buildings using genetic algorithms

Structural and Multidisciplinary Optimization ◽

10.1007/s00158-021-02965-5 ◽

2021 ◽

Author(s):

Herian Leyva ◽

Juan Bojórquez ◽

Edén Bojórquez ◽

Alfredo Reyes-Salazar ◽

Julián Carrillo ◽

...

Keyword(s):

Genetic Algorithms ◽

Reinforced Concrete ◽

Seismic Design ◽

Reinforced Concrete Buildings ◽

Concrete Buildings ◽

Multi Objective

Download Full-text

Multi-objective load balancing in distributed computing environment

Proceedings of the 35th Annual ACM Symposium on Applied Computing ◽

10.1145/3341105.3374078 ◽

2020 ◽

Author(s):

Avadh Kishor ◽

Rajdeep Niyogi

Keyword(s):

Distributed Computing ◽

Load Balancing ◽

Computing Environment ◽

Multi Objective

Download Full-text

Multi-objective model optimisation using genetic algorithms for pleurotus sp. cultivation

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/863/1/012027 ◽

2020 ◽

Vol 863 ◽

pp. 012027

Author(s):

N Zainol ◽

A S Fakharudin ◽

N A Dzulkefli ◽

M F A Bakar

Keyword(s):

Genetic Algorithms ◽

Multi Objective ◽

Objective Model

Download Full-text

Automatic extraction of multi-objective aware pipeline parallelism using genetic algorithms

Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis - CODES+ISSS '12 ◽

10.1145/2380445.2380463 ◽

2012 ◽

Author(s):

Daniel Cordes ◽

Michael Engel ◽

Peter Marwedel ◽

Olaf Neugebauer

Keyword(s):

Genetic Algorithms ◽

Automatic Extraction ◽

Multi Objective ◽

Pipeline Parallelism

Download Full-text

Endmember induction by lattice associative memories and multi-objective genetic algorithms

EURASIP Journal on Advances in Signal Processing ◽

10.1186/1687-6180-2012-64 ◽

2012 ◽

Vol 2012 (1) ◽

Author(s):

Manuel Graña ◽

Miguel A Veganzones

Keyword(s):

Genetic Algorithms ◽

Associative Memories ◽

Multi Objective

Download Full-text

An Automatic Planning and Scheduling Method Based on Multi-Objective Genetic Algorithms for Planetary Radar Sounder Observations

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss39084.2020.9324270 ◽

2020 ◽

Author(s):

Stefano Paterna ◽

Massimo Santoni ◽

Lorenzo Bruzzone

Keyword(s):

Genetic Algorithms ◽

Planning And Scheduling ◽

Multi Objective ◽

Scheduling Method ◽

Automatic Planning ◽

Download Full-text

Use of multi-objective genetic algorithms to investigate the diversity/accuracy dilemma in heterogeneous ensembles

2009 International Joint Conference on Neural Networks ◽

10.1109/ijcnn.2009.5178758 ◽

2009 ◽

Author(s):

Diogo F. de Oliveira ◽

Anne M. P. Canuto ◽

Marcilio C. P. de Souto

Keyword(s):

Genetic Algorithms ◽

Multi Objective

Download Full-text