High-quality-guided artificial bee colony algorithm for designing loudspeaker

High-quality-guided artificial bee colony algorithm for designing loudspeaker Designing the loudspeaker could be concerned as an optimization problem. Like most electromagnetic device design issues, it demonstrates multimodal, multidimensional and constrained. The traditional design method cannot achieve a satisfactory model within a certain period of time. In this paper, a high-quality-guided artificial bee colony algorithm is proposed to increase its convergence speed and search accuracy by gradually changing the number of updating dimensions and searching closer to better locations. The algorithm is first tested on some representative basic benchmark functions and then is applied to a loudspeaker design problem. By comparing with some classical algorithms, the performance of our algorithm is verified. Keywords Loudspeaker  Artificial bee colony  Convergence rate  Updating dimensions 1 Introduction field of electromagnetism are often complicated and unpredictable [7]. This is due to these problems often Optimization problems become more and more important have complex constraints, a large number of variables to with the development of science and technology and be adjusted and easy to fall into local optimal solutions have been applied in many fields, such as function [8, 9]. The problem of designing loudspeaker also could optimization, image processing, robot control, industrial be treated as an optimization problem to get http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Neural Computing and Applications Springer Journals

High-quality-guided artificial bee colony algorithm for designing loudspeaker

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Publisher
Springer London
Copyright
Copyright © 2018 by The Natural Computing Applications Forum
Subject
Computer Science; Artificial Intelligence (incl. Robotics); Data Mining and Knowledge Discovery; Probability and Statistics in Computer Science; Computational Science and Engineering; Image Processing and Computer Vision; Computational Biology/Bioinformatics
ISSN
0941-0643
eISSN
1433-3058
D.O.I.
10.1007/s00521-018-3568-0
Publisher site
See Article on Publisher Site

Abstract

Designing the loudspeaker could be concerned as an optimization problem. Like most electromagnetic device design issues, it demonstrates multimodal, multidimensional and constrained. The traditional design method cannot achieve a satisfactory model within a certain period of time. In this paper, a high-quality-guided artificial bee colony algorithm is proposed to increase its convergence speed and search accuracy by gradually changing the number of updating dimensions and searching closer to better locations. The algorithm is first tested on some representative basic benchmark functions and then is applied to a loudspeaker design problem. By comparing with some classical algorithms, the performance of our algorithm is verified. Keywords Loudspeaker  Artificial bee colony  Convergence rate  Updating dimensions 1 Introduction field of electromagnetism are often complicated and unpredictable [7]. This is due to these problems often Optimization problems become more and more important have complex constraints, a large number of variables to with the development of science and technology and be adjusted and easy to fall into local optimal solutions have been applied in many fields, such as function [8, 9]. The problem of designing loudspeaker also could optimization, image processing, robot control, industrial be treated as an optimization problem to get

Journal

Neural Computing and ApplicationsSpringer Journals

Published: Jun 5, 2018

References

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