Bibliographic Details
| Title: |
Performance Analysis of SMDO Method with Benchmark Functions with Matlab Toolbox. |
| Authors: |
AKPAMUKÇU, Mehmet, ATEŞ, Abdullah, ALAGÖZ, Barış Baykant |
| Source: |
Journal of the Institute of Science & Technology / Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi; Dec2020, Vol. 10 Issue 4, p2451-2460, 10p |
| Subject Terms: |
PARTICLE swarm optimization, MATHEMATICAL optimization, HEURISTIC |
| Reviews & Products: |
MATLAB (Computer software) |
| Abstract: |
SMDO method is a set and trial based optimization algorithm that is developed for online fine-tuning of controller parameters. SMDO method is implemented for several controller tuning applications. It can search parameter space with random backward and forward steps of each parameter. This property reduces risk of testing unstable control system configurations in controller design and thus makes the SMDO method more suitable for online parameter tuning of experimental systems. However, performance of SMDO has not been evaluated previously for benchmark functions in comparison with other well known heuristic optimization methods. This study aims to compare performances of Artificial Bee Colony (ABC), Cuckoo Search Optimization (CK), Particle Swarm Optimization (PSO) and Stochastic Multi-parameters Divergence Optimization (SMDO) methods for benchmark functions. Therefore, a benchmark tests program that is a user-friendly MATLAB GUI is introduced for user. This program can be downloaded from https://www.mathworks.com/matlabcentral/fileexchange/75043- smdo-method-with-benchmark-functions. [ABSTRACT FROM AUTHOR] |
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Copyright of Journal of the Institute of Science & Technology / Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi is the property of Igdir University, Institute of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Complementary Index |
