 | 2011 |
|---|
| 8 |       | Kazuaki Masuda,
Kenzo Kurihara,
Eitaro Aiyoshi:
A novel method for solving min-max problems by using a modified particle swarm optimization.
SMC 2011: 2113-2120 |
| 7 | | Eitaro Aiyoshi,
Atsushi Maki,
Takashi Okamoto:
The robustness of a Nash equilibrium simulation model: Game-theoretic approach using variable metric projection method.
Mathematics and Computers in Simulation 81(7): 1518-1526 (2011) |
| 2010 |
|---|
| 6 | | Kazuaki Masuda,
Kenzo Kurihara,
Eitaro Aiyoshi:
A penalty approach to handle inequality constraints in particle swarm optimization.
SMC 2010: 2520-2525 |
| 2009 |
|---|
| 5 | | 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.
Mathematics and Computers in Simulation 79(9): 2724-2732 (2009) |
| 2008 |
|---|
| 4 | | Takashi Okamoto,
Eitaro Aiyoshi:
Global optimization using a synchronization of multiple search Points autonomously driven by a chaotic dynamic model.
J. Global Optimization 41(2): 219-244 (2008) |
| 2004 |
|---|
| 3 | | Kazuaki Masuda,
Eitaro Aiyoshi:
Recurrent network expression and its property of replicator dynamics for optimization.
SMC (4) 2004: 3488-3493 |
| 2002 |
|---|
| 2 | | Eitaro Aiyoshi,
Ryota Horie,
Atsushi Maki:
An application of the continuous time replicator dynamic to economics.
Mathematics and Computers in Simulation 59(1-3): 105-113 (2002) |
| 1999 |
|---|
| 1 | | 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): 1359-1375 (1999) |
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