Eitaro Aiyoshi

20 papers B 5C 2Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2021 J jnl
A three-compartment non-linear model of myocardial cell conduction block during photosensitization.
Medical Biol. Eng. Comput.
Emiyu Ogawa, Eitaro Aiyoshi, Tsunenori Arai
2015 J jnl
A New Framework with a Stability Theory for Multipoint-Type and Stochastic Meta-Heuristic Optimization Algorithms.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Yuji Koguma, Eitaro Aiyoshi
2013 B conf
Gamification of the Optimization Problem and Multi-point Type Optimization Methods.
SMC
Takashi Okamoto, Eitaro Aiyoshi
2011 B conf
A novel method for solving min-max problems by using a modified particle swarm optimization.
SMC
Kazuaki Masuda, Kenzo Kurihara, Eitaro Aiyoshi
2011 J jnl
The robustness of a Nash equilibrium simulation model: Game-theoretic approach using variable metric projection method.
Math. Comput. Simul.
Eitaro Aiyoshi, Atsushi Maki, Takashi Okamoto
2010 B conf
A penalty approach to handle inequality constraints in particle swarm optimization.
SMC
Kazuaki Masuda, Kenzo Kurihara, Eitaro Aiyoshi
2009 J jnl
A Nash equilibrium solution in an oligopoly market: The search for Nash equilibrium solutions with replicator equations derived from the gradient dynamics of a simplex algorithm.
Math. Comput. Simul.
Eitaro Aiyoshi, Atsushi Maki
2008 J jnl
Global optimization using a synchronization of multiple search Points autonomously driven by a chaotic dynamic model.
J. Glob. Optim.
Takashi Okamoto, Eitaro Aiyoshi
2007 — conf
Automatic Tuning for Model Predictive Control: Can Particle Swarm Optimization find a better parameter?
ISIC
Fukiko Kawai, Hideyuki Ito, Chikashi Nakazawa, Tetsuro Matsui, Yoshikazu Fukuyama, Ryohei Suzuki, Eitaro Aiyoshi
2007 — conf
Automatic Tuning of Model Predictive Control Using Particle Swarm Optimization.
SIS
Ryohei Suzuki, Fukiko Kawai, Hideyuki Ito, Chikashi Nakazawa, Yoshikazu Fukuyama, Eitaro Aiyoshi
2004 C conf
Automatic core design using reinforcement learning.
ACC
Yoko Kobayashi, Eitaro Aiyoshi
2004 B conf
Optimization algorithm using multi-agents and reinforcement learning.
IEEE Congress on Evolutionary Computation
Yoko Kobayashi, Eitaro Aiyoshi
2004 — conf
Recurrent network expression and its property of replicator dynamics for optimization.
SMC (4)
Kazuaki Masuda, Eitaro Aiyoshi
2003 C conf
Integrative two-state optimization for core design of BWR using genetic algorithms.
CCA
Yoko Kobayashi, Eitaro Aiyoshi
2002 J jnl
An application of the continuous time replicator dynamic to economics.
Math. Comput. Simul.
Eitaro Aiyoshi, Ryota Horie, Atsushi Maki
1999 J jnl
A distributed model of the saccade system: simulations of temporally perturbed saccades using position and velocity feedback.
Neural Networks
Kuniharu Arai, Sanjoy Das, Edward L. Keller, Eitaro Aiyoshi
1998 B conf
Neural networks realization of searching models for Nash equilibrium points and their application to associative memories.
SMC
Ryota Horie, Eitaro Aiyoshi
1996 J jnl
The hierarchical and social decision making procedure for bi-objective optimization problems by using the simple majority decision rule.
J. Glob. Optim.
Keiko Nagase, Eitaro Aiyoshi
1992 J jnl
Double penalty method for bilevel optimization problems.
Ann. Oper. Res.
Yo Ishizuka, Eitaro Aiyoshi
1982 J jnl
A new solution to optimization-satisfaction problems by a penalty method.
Autom.
Kiyotaka Shimizu, Eitaro Aiyoshi