Desirability Improvement of Committee Machine to Solve Multiple Response Optimization Problems
نویسندگان
چکیده
منابع مشابه
Improvement of Committee Machine Performance to Solve Multiple Response Optimization Problems
Three phases are considered for multiple response optimization (MRO) problems. They are design of experiments, modeling and optimization. Committee machines (CM) as a set of some experts such as some artificial neural networks (ANNs) can be applied for modeling phase. Then, genetic algorithm (GA) determines the final solution with object maximizing the global desirability as optimization phase....
متن کاملA New Approach to Solve Multiple Objective Programming Problems
Multiple Objective Programming (MOP) problems have become famous among many researchers due to more practical and realistic implementations. There have been a lot of methods proposed especially during the past four decades. In this paper, we develop a new algorithm based on a new approach to solve MOP problems by starting from a utopian point (which is usually infeasible) and moving towards the...
متن کاملQuality Improvement Through Multiple Response Optimization (TECHNICAL NOTE)
The performance of a product is often evaluated by several quality characteristics. ptimizing the manufacturing process with respect to only one quality characteristic will not always lead to the optimum values for other characteristics. Hence, it would be desirable to improve the overall quality of a product by improving quality characteristics, which are considered to be important. The probl...
متن کاملOn Multiple Response Optimization: Desirability Functions and Artificial Neural Networks
There are several different approaches used for the optimization of multiple response surface problems. Recently desirability functions and neural network approaches are used in many related studies. In this study multiple response optimization is investigated using desirability functions in response surface methodology and artificial neural networks. The results of these approaches are investi...
متن کاملUsing Stigmergy to Solve Numerical Optimization Problems
The current methodology for designing highly efficient technological systems needs to choose the best combination of the parameters that affect the performance. In this paper we propose a promising optimization algorithm, referred to as the Multilevel Ant Stigmergy Algorithm (MASA), which exploits stigmergy in order to optimize multi-parameter functions. We evaluate the performance of the MASA ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advances in Artificial Neural Systems
سال: 2013
ISSN: 1687-7594,1687-7608
DOI: 10.1155/2013/628313