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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP | 2016-05-26 15:15 |
Kochi | Kochi Univ. | Firefly Algorithm Changing Parameters of Females Masaki Takeuchi (Tokushima Univ.), Haruna Matsushita (Kagawa Univ.), Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.)  NLP2016-6 |
We have proposed Firefly Algorithm Distinguishing between Males and Females. It is important to have a diversity in vari... [more] | NLP2016-6 pp.29-32 |
| NLP, CAS | 2015-10-05 10:05 |
Hiroshima | Aster Plaza | Apprication of path planning algorithm by slime molds Masafumi Uemura, Haruna Matsushita (Kagawa Univ) CAS2015-21 NLP2015-82 |
[more] | CAS2015-21 NLP2015-82 pp.7-10 |
| NLP | 2015-04-23 15:00 |
Kagawa | Kagawa Social Welfare Center | Bee Algorithm using Voronoi Diagram Masafumi Uemura, Haruna Matsushita (Kagawa Univ) NLP2015-9 |
We propose the Bee Algorithm using Voronoi Diagram(BAVD). The Bee Algorithm (BA) is a populationbased search algorithm a... [more] | NLP2015-9 pp.39-42 |
| NLP | 2015-04-23 15:25 |
Kagawa | Kagawa Social Welfare Center | Firefly Algorithm That Connections Change Dynamically Haruna Matsushita (Kagawa Univ.) NLP2015-10 |
[more] | NLP2015-10 pp.43-48 |
| NLP, CAS | 2014-10-17 09:20 |
Ehime | Ehime University | Evaluating availability and Solving Shortest Path Problems by Adaptable Independent-minded Particle Swarm Optimization Yoko Ishii, Haruna Matsushita (Kagawa Univ.) CAS2014-70 NLP2014-64 |
The Shortest-Path Problem (SPP) is one of the most fundamental problems in graph theory. We proposed to investigate on t... [more] | CAS2014-70 NLP2014-64 pp.95-98 |
| NLP | 2013-10-28 09:30 |
Kagawa | Sanport Hall Takamatsu | Firefly Algorithm Searching Multiple Solutions Masafumi Uemura, Haruna Matsushita (Kagawa Univ.) NLP2013-69 |
This study proposes a Firefly Algorithm Searching Multiple Solutions (MSFA). We confirm that MSFA can find the multiple ... [more] | NLP2013-69 pp.1-4 |
| NLP | 2013-10-28 17:30 |
Kagawa | Sanport Hall Takamatsu | Discrete Firefly Algorithm Using Familiarity Degree and Its Application to QAP Mami Ishikawa, Haruna Matsushita (Kagawa Univ.) NLP2013-89 |
This study modifies Discrete Firefly Algorithm (DFA) and proposes a DFA using Familiarity Degree (FDFA). We apply FDFA ... [more] |
NLP2013-89 pp.105-108 |
| NLP | 2013-10-29 16:45 |
Kagawa | Sanport Hall Takamatsu | Solving Shortest Path Problems of Complex Networks Using Adaptable Independent-minded Particle Swarm Optimization Yoko Ishii, Haruna Matsushita (Kagawa Univ.) NLP2013-109 |
The Shortest Path Problem (SPP) is one of the most fundamental problems in graph theory. The purpose of this study is to... [more] | NLP2013-109 pp.211-214 |
| NLP | 2011-05-27 15:55 |
Kagawa | Olive park olive memorial hall | Ant Colony Optimization using Genetic Information for TSP Sho Shimomura (Tokusima Univ.), Haruna Matsushita (Kagawa Univ.), Yoshifumi Nishio (Tokusima Univ.) NLP2011-23 |
[more] | NLP2011-23 pp.111-115 |
| NC, MBE (Joint) |
2011-03-09 15:25 |
Tokyo | Tamagawa University | On Classification Function of Radial Basis ART Maps Yoko Enosawa (HU), Haruna Matsushita (KU), Toshimichi Saito (HU) NC2010-201 |
In this paper, we present a new application of radial basis adaptive resonance theory Maps (RB-ARTMAP) to classification... [more] | NC2010-201 pp.433-436 |
| NLP, CAS | 2010-08-02 11:40 |
Tokushima | Naruto University of Education | Particle Swarm Optimization Containing Plural Swarms whose Particles have Different Features Masaki Sugimoto (Tokushima Univ.), Haruna Matsushita (Hosei Univ.), Yoshifumi Nishio (Tokushima Univ.) CAS2010-38 NLP2010-54 |
This study proposes a new Particle Swarm Optimization (PSO) algorithm containing plural swarms whose particles have dif... [more] |
CAS2010-38 NLP2010-54 pp.31-34 |
| NC, NLP, IPSJ-BIO [detail] | 2010-06-19 15:35 |
Okinawa | Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan | Behavior of Ant Colony Optimization with Intelligent and Dull Ants Sho Shimomura, Masaki Sugimoto, Taku Haraguchi (Tokushima Univ.), Haruna Matsushita (Hosei Univ.), Yoshifumi Nishio (Tokushima Univ.) NLP2010-20 NC2010-20 |
This study proposes a new Ant Colony Optimization (ACO) method; ACO with Intelligent and Dull Ants (IDACO). In IDACO al... [more] |
NLP2010-20 NC2010-20 pp.157-160 |
| NLP | 2010-03-10 16:15 |
Tokyo | Network-Structured Particle Swarm Optimizer with Various Topology Haruna Matsushita, Yoshifumi Nishio (Tokushima Univ.) NLP2009-183 |
[more] | NLP2009-183 pp.141-144 |
|
| NLP | 2008-07-31 10:30 |
Kochi | Nonlinear Spring Model of Self-Organizing Map Arranged in Rectangular Grid Haruna Matsushita, Yoshifumi Nishio (Tokushima Univ.) NLP2008-19 |
[more] | NLP2008-19 pp.1-4 |
|
| NLP | 2008-07-31 10:55 |
Kochi | Lazy Self-Organizing Map Considering Lazy-Neuron Rate and its Behaviors Taku Haraguchi, Haruna Matsushita, Yoshifumi Nishio (Tokushima Univ.) NLP2008-20 |
[more] | NLP2008-20 pp.5-10 |
|
| NLP | 2008-03-28 10:25 |
Hyogo | Lazy Self-Organizing Map for Effective Self-Organization Taku Haraguchi, Haruna Matsushita, Yoshifumi Nishio (Tokushima Univ.) NLP2007-168 |
The Self-Organizing Map (SOM) is a famous algorithm for the unsupervised learning and visualization introduced by Teuvo ... [more] | NLP2007-168 pp.7-12 |
|
| NLP | 2008-02-01 10:10 |
Hokkaido | Neural Gas Containing Two Kinds of Neurons and its Behaviors Keiko Kanda, Haruna Matsushita, Yoshifumi Nishio (Tokushima Univ.) NLP2007-143 |
[more] | NLP2007-143 pp.9-12 |
|
| NLP | 2008-02-01 14:15 |
Hokkaido | Batch-Learning Self-Organizing Map with False-Neighbor Degree for Effective Self-Organization Haruna Matsushita, Yoshifumi Nishio (Tokushima Univ.) NLP2007-150 |
[more] | NLP2007-150 pp.45-50 |
|
| NLP | 2007-06-08 16:05 |
Hiroshima | Nonlinear Spring Model of Self-Organizing Map and its Chaotic Behavior Haruna Matsushita, Yoshifumi Nishio (Tokushima Univ.) NLP2007-18 |
[more] | NLP2007-18 pp.41-44 |
|
| NLP | 2007-01-17 09:30 |
Kagawa | Self-Organizing Map Considering False Neighboring Neuron and its Applications Haruna Matsushita, Yoshifumi Nishio (Tokushima Univ.) |
[more] | NLP2006-110 pp.1-4 |
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