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2013 | OriginalPaper | Chapter

A Comparative Study of State Transition Algorithm with Harmony Search and Artificial Bee Colony

Authors : Xiaojun Zhou, David Yang Gao, Chunhua Yang

Published in: Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013

Publisher: Springer Berlin Heidelberg

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Abstract

We focus on a comparative study of three recently developed nature-inspired optimization algorithms, including state transition algorithm, harmony search and artificial bee colony. Their core mechanisms are introduced and their similarities and differences are described. Then, a suit of 27 well-known benchmark problems are used to investigate the performance of these algorithms and finally we discuss their general applicability with respect to the structure of optimization problems.

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Literature
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Metadata
Title
A Comparative Study of State Transition Algorithm with Harmony Search and Artificial Bee Colony
Authors
Xiaojun Zhou
David Yang Gao
Chunhua Yang
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-37502-6_78

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