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Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04170-4
Abstract: Nature-inspired algorithms take inspiration from living things and imitate their behaviours to accomplish robust systems in engineering and computer science discipline. Symbiotic organisms search (SOS) algorithm is a recent metaheuristic algorithm inspired by symbiotic interaction… read more here.
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Published in 2019 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-019-09733-4
Abstract: Recently, meta-heuristic algorithms have made remarkable progress in solving types of complex and NP-hard problems. So that, most of this algorithms are inspired by swarm intelligence and biological systems as well as other physical and… read more here.
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Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2020.107559
Abstract: Abstract This work proposes a Multi Agent based Symbiotic Organisms Search (MASOS) by incorporating multi agent system (MAS) into the Symbiotic Organisms Search (SOS) algorithm. Each organism in MASOS acts as an agent participating in… read more here.
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Published in 2018 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2018.04.092
Abstract: Abstract In the present study, the Symbiotic Organisms Search (SOS) algorithm was used to predict the wave height in two time ranges, including hourly and daily; accordingly, the wave height data of the statistical years… read more here.
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Published in 2018 at "Journal of Computing in Civil Engineering"
DOI: 10.1061/(asce)cp.1943-5487.0000741
Abstract: AbstractIn this study, a modified version of the symbiotic organisms search (SOS) is proposed for topology and sizing of two-dimensional (2D) and three-dimensional (3D) trusses with static and dyna... read more here.
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Published in 2021 at "Advances in Structural Engineering"
DOI: 10.1177/13694332211026219
Abstract: An enhanced symbiotic organisms search (ESOS) algorithm is developed and presented. Modifications to the basic symbiotic organisms search algorithm are carried out in all three phases of the algorithm with the aim of balancing the… read more here.
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0272861
Abstract: Kmeans clustering algorithm is an iterative unsupervised learning algorithm that tries to partition the given dataset into k pre-defined distinct non-overlapping clusters where each data point belongs to only one group. However, its performance is… read more here.
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Published in 2017 at "Journal of Hydroinformatics"
DOI: 10.2166/hydro.2017.085
Abstract: This work introduces the symbiotic organisms search (SOS) evolutionary algorithm to the optimization of reservoir operation. Unlike the genetic algorithm (GA) and the water cycle algorithm (WCA) the SOS does not require specification of algorithmic… read more here.