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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI | 2024-03-01 13:40 |
Aichi | Room0221, Bldg.2-C, Nagoya Institute of Technology | Applying Graph Neural Networks and Reinforcement Learning to the Multiple Depot-Multiple Traveling Salesman Problem Dongyeop Kim, Toshihiro Matsui (NITech)  AI2023-39 |
In this study, we introduce a method combining Graph Neural Networks (GNN) and reinforcement learning for the Multiple D... [more] | AI2023-39 pp.13-18 |
| HIP | 2023-12-21 14:15 |
Miyagi | Research Institute of Electrical Communication | HIP2023-80 |
Recently local economies have been facing many challenges due to declining birthrates, aging populations, and informatio... [more] | HIP2023-80 pp.21-27 |
| NLP, MSS | 2023-03-15 16:35 |
Nagasaki | (Primary: On-site, Secondary: Online) |
An Trial to Replace Chaotic Neural Networks with Hidden Markov Models.
-- A Case of Method for Solving Asymmetric Traveling Salesman Problems -- Toshihiro Tachibana, Tomoya Matsuno (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.), Kaya Nagasawa (Shonan Inst. of Tech.) MSS2022-78 NLP2022-123 |
We have proposed a method for adaptive switching between multiple methods using chaotic neural networks. Our research ha... [more] | MSS2022-78 NLP2022-123 pp.81-84 |
| CAS, CS | 2023-03-01 09:55 |
Fukuoka | Kitakyushu International Conference Center (Primary: On-site, Secondary: Online) |
A Study of Switching Methods Using Chaotic Neurodynamics for Solving Multi-Objective Optimization Problem Toshihiro Tachibana, Touya Suzuki, Takuya Inoue (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) CAS2022-97 CS2022-74 |
We have proposed several methods for solving asymmetric traveling salesman problems and multi-objective optimization pro... [more] | CAS2022-97 CS2022-74 pp.6-11 |
| CAS, SIP, VLD, MSS | 2022-06-17 15:45 |
Aomori | Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
QUBO Model Formulation based on Petri net Behavior for Combinatorial Optimization Problems Keisuke Tokuhira, Morikazu Nakamura, Mitsunaga Kinjo, Katsuhiko Shimabukuro (Univ. of the Ryukyus) CAS2022-18 VLD2022-18 SIP2022-49 MSS2022-18 |
This paper proposes a method to generate Ising or QUBO models based on Petri net behavioral properties for combinatorial... [more] | CAS2022-18 VLD2022-18 SIP2022-49 MSS2022-18 pp.96-101 |
| MSS, NLP | 2022-03-29 13:00 |
Online | Online | A Relation between Gap and City Layout for Asymmetric Traveling Salesman Problems Using Hidden Markov Models Toshihiro Tachibana, Tomoya Matsuno (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) MSS2021-74 NLP2021-145 |
We have proposed several methods for solving asymmetric traveling salesman problems and multi-objective optimization pro... [more] | MSS2021-74 NLP2021-145 pp.101-104 |
| CAS, ICTSSL | 2021-01-29 10:10 |
Online | Online | Consideration of Switching by Chaotic Neurodynamics for Asymmetric TSPs by using Hidden Markov Model Tomoya Matsuno, Toshihiro Tachibana (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) CAS2020-59 ICTSSL2020-44 |
Several methods for solving the asymmetric traveling salesman problem using chaotic neural networks is proposed by Tachi... [more] | CAS2020-59 ICTSSL2020-44 pp.107-110 |
| CAS, ICTSSL | 2021-01-29 10:30 |
Online | Online | A Method for Solving Traveling Salesman Problems Using Switching of Crossover by Chaotic Neurodynamics Masayuki Kashiwagi, Tomoki Ishizawa, Toshihiro Tashibana (Shonan Inst. of Tech.) CAS2020-60 ICTSSL2020-45 |
In this paper, we solve traveling salesman problems using genetic algorithm. The genetic algorithm is a heuristic method... [more] | CAS2020-60 ICTSSL2020-45 pp.111-114 |
| MSS, NLP (Joint) |
2018-03-14 15:20 |
Osaka | Method for Solving Asymmetric Traveling Salesman Problems by Dynamically Changes the Number of Cities Consider as One City Toshihiro Tachibana (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) NLP2017-113 |
In this paper, the authors extend a proposed method for asymmetric traveling salesman problems. Asymmetric traveling sal... [more] | NLP2017-113 pp.61-66 |
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| NLP | 2017-11-05 16:35 |
Miyagi | Research Institute of Electrical Communication Tohoku University | A routing method using transmission history information and betweenness centrality Yuuki Morita, Takayuki Kimura (NIT) NLP2017-72 |
The combinatorial optimization problem is classified into two types: a static combinatorial optimization problem and a d... [more] | NLP2017-72 pp.41-46 |
| NLP | 2015-01-26 17:10 |
Oita | Compal Hall | The dependence to the active neuron's parameter of the searching performance for TSP's solutions by using DS-net Hikaru Okuda, Yoshihiro Hayakawa (NIT, Sendai) NLP2014-127 |
The Inverse function Delayed (ID) model has been proposed as one of the active neuron model. The ID model is expected as... [more] | NLP2014-127 pp.83-88 |
| NLP | 2014-07-21 14:55 |
Hokkaido | Hakodate City Central Library | Solving Ability of Lin-Kernighan Method Driven by Chaotic Dynamics for Traveling Salesman Problems Takahiro Mitsuoka, Mikio Hasegawa (Tokyo Univ. of Science) NLP2014-35 |
Effectiveness of chaos for optimization has been shown by many previous researches. In this paper, a chaotic search base... [more] | NLP2014-35 pp.23-26 |
| NLP | 2014-01-21 13:50 |
Hokkaido | Niseko Park Hotel | Solving Optimization Problems Using DS-net and IDL model Yuto Watanabe (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2013-137 |
The Inverse function DelayLess (IDL) model has been proposed as one of novel neural models. Since the IDL model can set ... [more] | NLP2013-137 pp.45-50 |
| NLP | 2013-10-29 13:30 |
Kagawa | Sanport Hall Takamatsu | Discussion about the effectiveness of a DS-net and an active neuron model Yoshihiro Hayakawa, Hikaru Okuda (Sendai NCT.), Yuto Watanabe, Koji Nakajima (Tohoku Univ.) NLP2013-100 |
The active neuron model, which means an active region in output space, is an effective tool to avoid local minimum pro... [more] |
NLP2013-100 pp.159-164 |
| NC | 2012-10-04 17:45 |
Fukuoka | Kyushu Institute of Technology (Wakamatsu Campus) | An Application of the Virtual Magnetic Diminuendo Method to Combinatorial Optimization Problems
-- Towards Autonomous System for Effective Assignment -- Hiroshi Wakuya, Taichi Inoue, Hideaki Itoh, Hisao Fukumoto, Tatsuya Furukawa (Saga Univ.) NC2012-48 |
In general, there are quite a lot of constraints, when we try to solve actual combinatorial optimization problems. A fa... [more] | NC2012-48 pp.67-72 |
| NLP | 2012-03-27 16:05 |
Nagasaki | Fukue Cultural Hall | Designing method of Energy Functions for Solving Combinatorial Optimization Problems by the Network with Higher-order Connections Takahiro Sota (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2011-148 |
We have proposed the Inverse function Delayed network with Higher order synaptic Connections (HC-ID network) to solve va... [more] | NLP2011-148 pp.39-44 |
| NLP | 2012-03-27 16:55 |
Nagasaki | Fukue Cultural Hall | Solving Multi-objective Optimization Problems Using Particle Swarm Optimization Methods with Switching by Chaotic Neurodynamics Toshihiro Tachibana, Masaharu Adachi (Tokyo Denki Univ.) NLP2011-150 |
In this paper, a method for solving multi-objective optimization problems is proposed. The proposed method switches more... [more] | NLP2011-150 pp.51-56 |
| RCS, AN, SR, USN (Joint) |
2011-10-27 11:30 |
Tokyo | Sophia Univ. | [Tutorial Lecture]
Development and Application of Ad Hoc/Mesh Networks: An Experiment for Timely Distribution of Sales Ads on NerveNet Yasunori Owada, Masugi Inoue, Masaaki Ohnishi (NICT), Hiroaki Morino (Shibaura Institute of Technology), Tohru Sanefuji (Nassua Solutions Corporation) RCS2011-162 SR2011-66 AN2011-40 USN2011-42 |
NerveNet is a concept which provides information distribution service among a regional area, and also is a concept which... [more] | RCS2011-162 SR2011-66 AN2011-40 USN2011-42 pp.143-146(RCS), pp.153-156(SR), pp.125-128(AN), pp.125-128(USN) |
| NLP | 2011-03-11 13:30 |
Tokyo | Tokyo University of Science | Higher order neural network with stochastic logic Takahiro Sota (Tohoku Univ.), Yoshihiro Hayakawa (Sendai National College of Technology), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2010-189 |
We have proposed the method to solve various combinatorial optimization problems such as Traveling Salesman Problems (TS... [more] | NLP2010-189 pp.149-152 |
| NLP | 2010-11-19 14:20 |
Miyagi | Tohoku University (RIEC) | Solving Method of Conbinatorial Optimization Problems Based on Quartic Form Energy Function for Solving Larger Problems Takahiro Sota (Tohoku Univ.), Yoshihiro Hayakawa (Sendai National College of Tech.), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2010-101 |
We have proposed the Inverse function Delayed network with Higher order synaptic Connection (HC-ID network) to solve var... [more] | NLP2010-101 pp.11-16 |
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