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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 24  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP 2024-05-09
15:05
Kagawa Kagawa Prefecture Social Welfare Center A Gray Wolf Optimization Method with Adaptive Large Neighborhood Search for the Traveling Salesman Problems
Rikuto Shibutani, Takayuki Kimura (NIT)
(To be available after the conference date) [more]
CAS, CS 2024-03-14
10:20
Okinawa   Improved CSD-FIR Filter Design Performance by Reducing the Number of Penalized Individuals
Hanqin Qi, Kenji Suyama (Tokyo Denki Univ.) CAS2023-113 CS2023-106
A design method for CSD-FIR filters using PfGA has been proposed, in which a parameter adjustment is not required in adv... [more] CAS2023-113 CS2023-106
pp.12-16
NLP, MSS 2024-03-13
15:25
Misc. Kikai-Shinko-Kaikan Bldg. Machine learning-based solubility prediction and meta-heuristic search for multiple mutation patterns
Kaisei Kojima, Kazutoshi Sakakibara, Masaki Nakamura (Toyama Prefectural Univ.), Daisuke Matsui (Ritsumeikan Univ.) MSS2023-80 NLP2023-132
In order to solubilize insoluble proteins that cannot be used for industrial purposes, experiments have been performed t... [more] MSS2023-80 NLP2023-132
pp.48-53
SS, MSS 2024-01-17
16:50
Ishikawa
(Primary: On-site, Secondary: Online)
The Verification of the Introduction Effect of the Rolling-Horizon Approach in Inventory Routing Problems
Hirotaka Ooe, Soichiro Yokoyama, Tomohisa Yamashita, Hidenori Kawamura (Hokudai), Mitsuo Tada (ZeroSpec) MSS2023-60 SS2023-39
This paper focuses on the Inventory Routing Problem (IRP), a combinatorial optimization problem where distributors with ... [more] MSS2023-60 SS2023-39
pp.44-51
AI 2023-09-12
15:15
Hokkaido   An Efficient Neighborhood Structure for the Kerosene Inventory Routing Problem
Hirotaka Ooe, Soichiro Yokoyama, Tomohisa Yamashita, Hidenori Kawamura (Hokudai), Mitsuo Tada (ZeroSpec) AI2023-17
Kerosene delivery is a service where kerosene is periodically delivered to ensure that household tanks do not run out. R... [more] AI2023-17
pp.87-94
NLP 2023-05-13
11:15
Fukushima Kenshin Koriyama Cultural Center (Koriyama, Fukushima) Parameter adjustment methods of ACO based on moving costs in time-dependent TSP
Teppei Yamauchi, Hidehiro Nakano (Tokyo City Univ.) NLP2023-4
The Time Dependent Traveling Salesman Problem (TDTSP) is a combinatorial optimization problem with dynamically changing ... [more] NLP2023-4
pp.16-19
RECONF, VLD, CPSY, IPSJ-ARC, IPSJ-SLDM [detail] 2022-01-24
11:50
Online Online Multi-spin-flip method for Ising machines and its application
Tatsuhiko Shirai, Nozomu Tagawa (Waseda Univ.) VLD2021-54 CPSY2021-23 RECONF2021-62
(To be available after the conference date) [more] VLD2021-54 CPSY2021-23 RECONF2021-62
pp.31-36
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-22
13:15
Online Online A study on performance of local search methods for Electric Vehicle Routing Problem with Time Windows
Jun Adachi, Takafumi Matsuura, Takayuki Kimura (NIT) NLP2021-104 MICT2021-79 MBE2021-65
The rapid increase of delivery goods and shortage of drivers causes the construction of efficient delivery routes that m... [more] NLP2021-104 MICT2021-79 MBE2021-65
pp.143-148
R 2021-07-17
14:25
Online Virtual Refined Ensemble Learning Algorithms for Software Bug Prediction -- Metaheuristic Approach --
Keisuke Fukuda, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) R2021-19
In this paper, we propose to apply three metaheuristic algorithms; latin hypercube sampling, ABC (artificial
bee colon... [more]
R2021-19
pp.18-23
CAS, ICTSSL 2021-01-28
14:25
Online Online Design of IIR Filter Using Novel Constraint-handling Method
Yuta Harigae, Kenji Suyama (Tokyo Denki Univ.) CAS2020-47 ICTSSL2020-32
In previous work, the design methods of IIR filter using metaheuristics have been proposed.
The penalty function method... [more]
CAS2020-47 ICTSSL2020-32
pp.46-51
R 2020-11-30
13:00
Online Online Ant Colony Optimization Algorithm Based on Birnbaum Importance and Necessary Condition for Optimal Arrangement Problems in a Linear Consecutive-k-out-of-n: F System
Issin Honma, Hisashi Yamamoto (Tokyo Metropolitan Univ.), Taishin Nakamura (Tokai Univ.) R2020-23
In this study, we propose an ant colony optimization algorithm based on Birnbaum importance and necessary conditions for... [more] R2020-23
pp.1-6
MSS, NLP
(Joint)
2020-03-10
14:55
Aichi  
(Cancelled but technical report was issued)
NA
Masashi Tawada, Nozomu Togawa (Waseda Univ.) MSS2019-65
N/A [more] MSS2019-65
pp.43-48
AI 2018-07-02
10:25
Hokkaido   Solving Constraint Satisfaction Problems Using Ant Colony Optimization with Multi-Pheromones
Takuya Masukane, Kazunori Mizuno (Takushoku Univ.) AI2018-2
Ant colony optimization, ACO, is one of the meta-heuristics. ACO has been effective to solve constraint satisfaction pro... [more] AI2018-2
pp.7-10
NLP 2018-04-27
16:10
Kumamoto Kumaoto Univ. An ABC Algorithm with Improvement of Tracking Performance to Solutions in Dynamic Optimization Problems
Masato Omika, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2018-26
We propose an ABC algorithm to dynamic optimization problems in this article. The proposed method makes the following tw... [more] NLP2018-26
pp.127-131
NLP 2018-04-27
16:35
Kumamoto Kumaoto Univ. A Particle Swarm Optimizer Based on Periodically Swiched Particle Networks
Santana Sato, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2018-27
In this paper, we propose a method to periodically switch the couplings between particles in Particle Swarm Optimization... [more] NLP2018-27
pp.133-137
NLP 2017-11-05
14:00
Miyagi Research Institute of Electrical Communication Tohoku University Optimization for switching phase of PWM inverter
Asuna Yamasaki, Kenya Jin'no (NIT) NLP2017-67
In this article, we optimize the switching phase of the PWM inverter by using a differential evolution algorithm to impr... [more] NLP2017-67
pp.13-18
NLP, CCS 2015-06-11
09:50
Tokyo Waseda Univerisity Analysis and evaluation of Firefly Algorithm
Jianze Xiao, Takuya Shindo, Takuya Kurihara, Kenya Jin'no (NIT) NLP2015-41 CCS2015-3
Firefly algorithm is one of Metaheuristic optimization algorithms, it is inspired by the flashing and attracting behavio... [more] NLP2015-41 CCS2015-3
pp.13-18
NLP 2015-05-19
11:50
Aomori Yu-sa Asamushi Basic Performances of Deterministic PSO Networks
Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi, Akira Taguchi (Tokyo City Univ.) NLP2015-38
PSO network is the method of dividing population of PSO into multiple sub-swarm groups, and each sub-swarm group is conn... [more] NLP2015-38
pp.61-66
SSS 2013-12-19
13:40
Tokyo   Application of Multi-objective Metaheuristics to Transmission Network Expansion Planning
Hiroki Kakuta, Hiroyuki Mori, Shigeru Tamura, Yosikazu Fukuyama (Meiji Univ.) SSS2013-29
This paper proposes an efficient method for transmission network expansion planning in power systems. It makes use of mo... [more] SSS2013-29
pp.5-8
NLP 2012-01-23
17:05
Fukushima Aizu-keiko-do Hall An heuristic algorithm for TSP by region segmentation correspond to instance characteristics -- The solution by the operation using P type Fourier descriptor --
Tomihiro Kimura, Masaharu Adachi (Tokyo Denki Univ.) NLP2011-133
A Fourier descriptor is often used for approximation to curves.
An improvement of the performance of a solution is aim... [more]
NLP2011-133
pp.51-55
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