LibOPT: An Open-Source Platform for Fast Prototyping Soft Optimization Techniques

April 18, 2017 ยท Declared Dead ยท ๐Ÿ› 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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