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. © Springer-Verlag Berlin Heidelberg 2013.
CITATION STYLE
Zhou, X., Gao, D. Y., & Yang, C. (2013). A Comparative Study of State Transition Algorithm with Harmony Search and Artificial Bee Colony. Advances in Intelligent Systems and Computing, 212, 651–659. https://doi.org/10.1007/978-3-642-37502-6_78
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