Eitaro Aiyoshi

Publication Activity (10 Years)

Years Active: 1982-2021
Publications (10 Years): 2

Top Topics

Simulated Annealing

Continuous Optimization

Optimization Method

Top Venues

Medical Biol. Eng. Comput.

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

Publications

Emiyu Ogawa, Eitaro Aiyoshi, Tsunenori Arai
A three-compartment non-linear model of myocardial cell conduction block during photosensitization. Medical Biol. Eng. Comput. 59 (3) (2021)
Yuji Koguma, Eitaro Aiyoshi
A New Framework with a Stability Theory for Multipoint-Type and Stochastic Meta-Heuristic Optimization Algorithms. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2) (2015)
Takashi Okamoto, Eitaro Aiyoshi
Gamification of the Optimization Problem and Multi-point Type Optimization Methods. SMC (2013)
Kazuaki Masuda, Kenzo Kurihara, Eitaro Aiyoshi
A novel method for solving min-max problems by using a modified particle swarm optimization. SMC (2011)
Eitaro Aiyoshi, Atsushi Maki, Takashi Okamoto
The robustness of a Nash equilibrium simulation model: Game-theoretic approach using variable metric projection method. Math. Comput. Simul. 81 (7) (2011)
Kazuaki Masuda, Kenzo Kurihara, Eitaro Aiyoshi
A penalty approach to handle inequality constraints in particle swarm optimization. SMC (2010)
Eitaro Aiyoshi, Atsushi Maki
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. 79 (9) (2009)
Takashi Okamoto, Eitaro Aiyoshi
Global optimization using a synchronization of multiple search Points autonomously driven by a chaotic dynamic model. J. Glob. Optim. 41 (2) (2008)
Ryohei Suzuki, Fukiko Kawai, Hideyuki Ito, Chikashi Nakazawa, Yoshikazu Fukuyama, Eitaro Aiyoshi
Automatic Tuning of Model Predictive Control Using Particle Swarm Optimization. SIS (2007)
Fukiko Kawai, Hideyuki Ito, Chikashi Nakazawa, Tetsuro Matsui, Yoshikazu Fukuyama, Ryohei Suzuki, Eitaro Aiyoshi
Automatic Tuning for Model Predictive Control: Can Particle Swarm Optimization find a better parameter? ISIC (2007)
Kazuaki Masuda, Eitaro Aiyoshi
Recurrent network expression and its property of replicator dynamics for optimization. SMC (4) (2004)
Yoko Kobayashi, Eitaro Aiyoshi
Optimization algorithm using multi-agents and reinforcement learning. IEEE Congress on Evolutionary Computation (2004)
Yoko Kobayashi, Eitaro Aiyoshi
Automatic core design using reinforcement learning. ACC (2004)
Eitaro Aiyoshi, Ryota Horie, Atsushi Maki
An application of the continuous time replicator dynamic to economics. Math. Comput. Simul. 59 (1-3) (2002)
Kuniharu Arai, Sanjoy Das, Edward L. Keller, Eitaro Aiyoshi
A distributed model of the saccade system: simulations of temporally perturbed saccades using position and velocity feedback. Neural Networks 12 (10) (1999)
Ryota Horie, Eitaro Aiyoshi
Neural networks realization of searching models for Nash equilibrium points and their application to associative memories. SMC (1998)
Keiko Nagase, Eitaro Aiyoshi
The hierarchical and social decision making procedure for bi-objective optimization problems by using the simple majority decision rule. J. Glob. Optim. 8 (3) (1996)
Yo Ishizuka, Eitaro Aiyoshi
Double penalty method for bilevel optimization problems. Ann. Oper. Res. 34 (1992)
Kiyotaka Shimizu, Eitaro Aiyoshi
A new solution to optimization-satisfaction problems by a penalty method. Autom. 18 (1) (1982)