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 . 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
Neural Computing and Applications – Springer Journals
Published: Jun 5, 2018
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