Path synthesis of four-bar mechanisms using synergy of polynomial neural network and Stackelberg game theory-Reference-Cited by-同舟云学术

Path synthesis of four-bar mechanisms using synergy of polynomial neural network and Stackelberg game theory

Published:2016-08-26 Issue:6 Volume:49 Page:932-947
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Ahmadi Bahman¹,Nariman-zadeh Nader¹²,Jamali Ali¹

Affiliation:

1. Department of Mechanical Engineering, Faculty of Engineering, University of Guilan, Rasht, Iran

2. Intelligent-Based Experimental Mechanics Center of Excellence, School of Mechanical Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2016.1218641

Reference24 articles.

1. Performance of EAs for four-bar linkage synthesis

2. Modeling for Concurrent Design Using Game Theory Formulations

3. An evolutionary algorithm for path synthesis of mechanisms

4. Optimal synthesis of mechanisms with genetic algorithms

5. Crespo, L. G., and S. P. Kenny. 2005. “Robust Control Deign for Systems with Probabilistic Uncertainty.” NASA report, TP-2005–213531.

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