Rotated neighbor learning-based auto-configured evolutionary algorithm

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Evolutionary auto-tuning algorithm for PID controllers ⋆

In this work, an auto-tuning procedure for PID controllers is presented. This autotuning procedure identifies a FOPDT model for a given process and uses an evolutionary algorithm to solve a constrained non-convex optimization problem to adjust the parameters of a PID controller with derivative filter. The auto-tuning procedure is validated with a set of process with different characteristics. P...

متن کامل

Evolutionary learning of nearest-neighbor MLP

The nearest-neighbor multilayer perceptron (NN-MLP) is a single-hidden-layer network suitable for pattern recognition. To design an NN-MLP efficiently, this paper proposes a new evolutionary algorithm consisting of four basic operations: recognition, remembrance, reduction, and review. Experimental results show that this algorithm can produce the smallest or nearly smallest networks from random...

متن کامل

K- Nearest Neighbor Algorithm for Instance Based Learning

Instance Based Learning (IBL) results in classifying a new instance by examining and comparing it to the rest of the instances in the dataset. An example of this type of learning is the K-Nearest Neighbor algorithm which is based on examining an average Euclidian distance of the nearest k neighbors' parameters given a certain situation.

متن کامل

Parameter Auto-tuning Method Based on Self-learning Algorithm

The central air condition system is a complex system. Aimed at the puzzle of optimal status adjusting by once setting parameter of fuzzy PID, the paper proposed a sort of parameter auto-tuning method of fuzzy-PID based on self-learning algorithm. It adopted parameter autotuning technique to adjust the PID parameters in real time so as to ensure good quality of control system. It combined fuzzy ...

متن کامل

A Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm

In this paper, a new clustering algorithm based on CLA-EC is proposed. The CLA-EC is a model obtained by combining the concepts of cellular learning automata and evolutionary algorithms. The CLA-EC is used to search for cluster centers in such a way that minimizes the squared-error criterion. The simulation results indicate that the proposed algorithm produces clusters with acceptable quality w...

متن کامل

ذخیره 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: Science China Information Sciences

سال: 2016

ISSN: 1674-733X,1869-1919

DOI: 10.1007/s11432-015-5372-0