Abstract
What is the concrete task of multimodal optimization methods and how can we compare the performance of these algorithms experimentally in a meaningful way? Which niching techniques are actually applied in existing algorithms, and how do they relate to the nearest-better clustering method? Specific benchmark suites and performance measures are still evolving and far from being mature. We review the current state and envision future developments in this respect.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Preuss, M. (2015). Niching Methods and Multimodal Optimization Performance. In: Multimodal Optimization by Means of Evolutionary Algorithms. Natural Computing Series. Springer, Cham. https://doi.org/10.1007/978-3-319-07407-8_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-07407-8_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07406-1
Online ISBN: 978-3-319-07407-8
eBook Packages: Computer ScienceComputer Science (R0)