Visualization of Pareto Solutions by Spherical Self-Organizing Map and It’s acceleration on a GPU

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.org/journal/jsea
E-mail: jsea@scirp.org

Google-based Impact Factor: 1.22
Citations h5-index & Ranking

Journals Menu

"Visualization of Pareto Solutions by Spherical Self-Organizing Map and It’s acceleration on a GPU"
written by Masato Yoshimi, Takuya Kuhara, Kaname Nishimoto, Mitsunori Miki, Tomoyuki Hiroyasu,
published by Journal of Software Engineering and Applications, Vol.5 No.3, 2012

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	A Visualisation Method for Pareto Front Approximations in Many-objective Optimisation
	2021 IEEE Congress on Evolutionary …, 2021

[2]	A Multi-Objective Linear Programming Model for Ranking Competing Refineries
	2018

[3]	Visualization and Data Mining of Multi-Objective Electric Machine Optimizations with Self-Organizing Maps: A Case Study on Switched Reluctance Machines
	2018

[4]	Advances in self-organizing maps for spatiotemporal and nonlinear systems
	2018

[5]	Advances in self-organizing maps for spatiotemporal and nonlinear systems.
	2018

[6]	A massively parallel neural network approach to large-scale Euclidean traveling salesman problems
	Neurocomputing, 2017

[7]	Bio-inspired multiobjective clustering optimization: A survey and a proposal
	2017

[8]	Cellular matrix model for parallel combinatorial optimization algorithms in Euclidean plane
	Applied Soft Computing, 2017

[9]	Aggregation Trees for visualization and dimension reduction in many-objective optimization
	Information Sciences, 2015

[10]	Analysis and Improvements of the Pareto Optimal Solution Visualization Method Using the Self-Organizing Maps
	SICE Journal of Control, Measurement, and System Integration, 2015

[11]	Parallel Structured Mesh Generation with Disparity Maps by GPU Implementation
	2015

[12]	A Visualization Technique for Accessing Solution Pool in Interactive Methods of Multiobjective Optimization
	International Journal of Computers Communications & Control, 2015

[13]	Parallel and Distributed Implementation Models for Bio-inspired Optimization Algorithms
	Swarm Intelligence Based Optimization.Springer, 2014

[14]	On the visualization of trade-offs and reducibility in many-objective optimization
	Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion. ACM, 2014

[15]	Visualization of Pareto Front Points when Solving Multi-objective Optimization Problems
	Information Technology And Control, 2013

[16]	A Massive Parallel Cellular GPU implementation of Neural Network to Large Scale Euclidean TSP
	Advances in Soft Computing and Its Applications. Springer Berlin Heidelberg, 2013

[17]	Cellular GPU Models to Euclidean Optimization Problems: Applications from Stereo Matching to Structured Adaptive Meshing and Traveling Salesman Problem
	Doctoral dissertation, Universit茅 de Technologie de Belfort-Montbeliard, 2013

[1]	A Visualisation Method for Pareto Front Approximations in Many-objective Optimisation 2021 IEEE Congress on Evolutionary Computation (CEC), 2021 DOI:10.1109/CEC45853.2021.9504904

[2]	Visualization and Data Mining of Multi-Objective Electric Machine Optimizations with Self-Organizing Maps: A Case Study on Switched Reluctance Machines 2018 IEEE Energy Conversion Congress and Exposition (ECCE), 2018 DOI:10.1109/ECCE.2018.8558399

[3]	A massively parallel neural network approach to large-scale Euclidean traveling salesman problems Neurocomputing, 2017 DOI:10.1016/j.neucom.2017.02.041

[4]	Cellular matrix model for parallel combinatorial optimization algorithms in Euclidean plane Applied Soft Computing, 2017 DOI:10.1016/j.asoc.2017.08.015

[5]	Aggregation Trees for visualization and dimension reduction in many-objective optimization Information Sciences, 2015 DOI:10.1016/j.ins.2014.11.044

[6]	Parallel Structured Mesh Generation with Disparity Maps by GPU Implementation IEEE Transactions on Visualization and Computer Graphics, 2015 DOI:10.1109/TVCG.2015.2413775

[7]	Analysis and Improvements of the Pareto Optimal Solution Visualization Method Using the Self-Organizing Maps SICE Journal of Control, Measurement, and System Integration, 2015 DOI:10.9746/jcmsi.8.34

[8]	On the visualization of trade-offs and reducibility in many-objective optimization Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, 2014 DOI:10.1145/2598394.2610550

[9]	Swarm Intelligence Based Optimization Lecture Notes in Computer Science, 2014 DOI:10.1007/978-3-319-12970-9_8

[10]	On the visualization of trade-offs and reducibility in many-objective optimization Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, 2014 DOI:10.1145/2598394.2610550

[11]	Advances in Soft Computing and Its Applications Lecture Notes in Computer Science, 2013 DOI:10.1007/978-3-642-45111-9_10

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Software Engineering and Applications

Journal of Software Engineering and Applications

Journals Menu

Home

About SCIRP

Service

Policies