Ontology type: schema:ScholarlyArticle
2021-07-22
AUTHORSAlexandros Tzanetos, Georgios Dounias
ABSTRACTIn the recent years, extensive discussion takes place in literature, on the effectiveness of meta-heuristics, and especially Nature Inspired Algorithms. Usually, authors state that such an approach should embody a well-balanced exploration and exploitation strategy. Sonar Inspired Optimization (SIO) is a recently presented algorithm, which counts already a number of successful real-world applications. Its novel mechanisms provide this equilibrium between exploration and exploitation, as it has been stated in previous studies. In this work, authors prove that this equilibrium exists and also, it is one of the main reasons behind the high quality performance of SIO. More... »
PAGES857-874
http://scigraph.springernature.com/pub.10.1007/s10472-021-09755-1
DOIhttp://dx.doi.org/10.1007/s10472-021-09755-1
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