LibOPT: An Open-Source Platform for Fast Prototyping Soft Optimization Techniques
April 18, 2017 ยท Declared Dead ยท ๐ arXiv.org
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Authors
Joao Paulo Papa, Gustavo Henrique Rosa, Douglas Rodrigues, Xin-She Yang
arXiv ID
1704.05174
Category
cs.NE: Neural & Evolutionary
Citations
18
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Optimization techniques play an important role in several scientific and real-world applications, thus becoming of great interest for the community. As a consequence, a number of open-source libraries are available in the literature, which ends up fostering the research and development of new techniques and applications. In this work, we present a new library for the implementation and fast prototyping of nature-inspired techniques called LibOPT. Currently, the library implements 15 techniques and 112 benchmarking functions, as well as it also supports 11 hypercomplex-based optimization approaches, which makes it one of the first of its kind. We showed how one can easily use and also implement new techniques in LibOPT under the C paradigm. Examples are provided with samples of source-code using benchmarking functions.
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