Eitaro Aiyoshi

According to our database, Eitaro Aiyoshi authored at least 19 papers between 1982 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

A three-compartment non-linear model of myocardial cell conduction block during photosensitization.

Emiyu Ogawa, Eitaro Aiyoshi, Tsunenori Arai

Medical Biol. Eng. Comput., 2021

2015

A New Framework with a Stability Theory for Multipoint-Type and Stochastic Meta-Heuristic Optimization Algorithms.

Yuji Koguma, Eitaro Aiyoshi

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015

2013

Gamification of the Optimization Problem and Multi-point Type Optimization Methods.

Takashi Okamoto, Eitaro Aiyoshi

Proceedings of the IEEE International Conference on Systems, 2013

2011

The robustness of a Nash equilibrium simulation model: Game-theoretic approach using variable metric projection method.

Eitaro Aiyoshi, Atsushi Maki, Takashi Okamoto

Math. Comput. Simul., 2011

A novel method for solving min-max problems by using a modified particle swarm optimization.

Kazuaki Masuda, Kenzo Kurihara, Eitaro Aiyoshi

Proceedings of the IEEE International Conference on Systems, 2011

2010

A penalty approach to handle inequality constraints in particle swarm optimization.

Kazuaki Masuda, Kenzo Kurihara, Eitaro Aiyoshi

Proceedings of the IEEE International Conference on Systems, 2010

2009

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.

Eitaro Aiyoshi, Atsushi Maki

Math. Comput. Simul., 2009

2008

Global optimization using a synchronization of multiple search Points autonomously driven by a chaotic dynamic model.

Takashi Okamoto, Eitaro Aiyoshi

J. Glob. Optim., 2008

2007

Automatic Tuning of Model Predictive Control Using Particle Swarm Optimization.

Ryohei Suzuki, Fukiko Kawai, Hideyuki Ito, Chikashi Nakazawa, Yoshikazu Fukuyama, Eitaro Aiyoshi

Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007

Automatic Tuning for Model Predictive Control: Can Particle Swarm Optimization find a better parameter?

Fukiko Kawai, Hideyuki Ito, Chikashi Nakazawa, Tetsuro Matsui, Yoshikazu Fukuyama, Ryohei Suzuki, Eitaro Aiyoshi

Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007

2004

Recurrent network expression and its property of replicator dynamics for optimization.

Kazuaki Masuda, Eitaro Aiyoshi

Proceedings of the IEEE International Conference on Systems, 2004

Optimization algorithm using multi-agents and reinforcement learning.

Yoko Kobayashi, Eitaro Aiyoshi

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Automatic core design using reinforcement learning.

Yoko Kobayashi, Eitaro Aiyoshi

Proceedings of the 2004 American Control Conference, 2004

2002

An application of the continuous time replicator dynamic to economics.

Eitaro Aiyoshi, Ryota Horie, Atsushi Maki

Math. Comput. Simul., 2002

1999

A distributed model of the saccade system: simulations of temporally perturbed saccades using position and velocity feedback.

Kuniharu Arai, Sanjoy Das, Edward L. Keller, Eitaro Aiyoshi

Neural Networks, 1999

1998

Neural networks realization of searching models for Nash equilibrium points and their application to associative memories.

Ryota Horie, Eitaro Aiyoshi

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

1996

The hierarchical and social decision making procedure for bi-objective optimization problems by using the simple majority decision rule.

Keiko Nagase, Eitaro Aiyoshi

J. Glob. Optim., 1996

1992

Double penalty method for bilevel optimization problems.

Yo Ishizuka, Eitaro Aiyoshi

Ann. Oper. Res., 1992

1982

A new solution to optimization-satisfaction problems by a penalty method.

Kiyotaka Shimizu, Eitaro Aiyoshi

Autom., 1982