caa a22 4500 445842601 CHVBK 20180317145349.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s11047-010-9201-5 doi (NATIONALLICENCE)springer-10.1007/s11047-010-9201-5 Friction-based sorting [Elektronische Daten] [Laura Dioşan, Mihai Oltean] Since computer processing mainly depends on sorting and searching methods, a key problem is how to design efficient algorithms in order to solve such problems. This paper describes a new nature-inspired mechanism (called Friction-based Sorting) capable of sorting a given set of numbers. The main idea behind this mechanism is to associate a ball (whose weight is proportional to the considered number) to each number. All the balls being allowed to fall in the presence of friction, the heaviest ball (which corresponds to the greatest input number) will reach the ground first and the lightest ball (associated with the smallest number) will reach the ground last. The proposed mechanism is analyzed, together with its strengths and weaknesses. Springer Science+Business Media B.V., 2010 Sort nationallicence Friction force nationallicence Drag force nationallicence Unconventional sorting method nationallicence Dioşan Laura Department of Computer Science Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Cluj-Napoca, Romania aut Oltean Mihai Department of Computer Science Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Cluj-Napoca, Romania aut Natural Computing Springer Netherlands 10/1(2011-03-01), 527-539 1567-7818 10:1<527 2011 10 11047 https://doi.org/10.1007/s11047-010-9201-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11047-010-9201-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Dioşan Laura Department of Computer Science Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Cluj-Napoca, Romania aut NATIONALLICENCE 700 1- Oltean Mihai Department of Computer Science Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Cluj-Napoca, Romania aut NATIONALLICENCE 773 0- Natural Computing Springer Netherlands 10/1(2011-03-01), 527-539 1567-7818 10:1<527 2011 10 11047 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer