000			02059nam a2200385Ia 4500
000			05921nam a22004095i 4500
001			978-3-031-36625-3
003			DE-He213
005			20240319120950.0
007			cr nn 008mamaa
008			230707s2023 sz | s |||| 0|eng d
020			_a9783031366253 _9978-3-031-36625-3
082			_a4.0151
245			_aAdvances in Swarm Intelligence _cedited by Ying Tan, Yuhui Shi, Wenjian Luo. _h[electronic resource] :
250			_a1st ed. 2023.
260			_aCham _bSpringer Nature Switzerland _c2023
300			_aXXIV, 538 p. 219 illus., 164 illus. in color. _bonline resource.
520			_aThis two-volume set LNCS 13968 and 13969 constitutes the proceedings of the 14th International Conference on Advances in Swarm Intelligence, ICSI 2023, which took place in Shenzhen, China, China, in July 2023. The theme of this year's conference was "Serving Life with Swarm Intelligence". The 81 full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized into 12 cohesive sections covering major topics of swarm intelligence research and its development and applications. The papers of the second part cover topics such as: Swarm Robotics and UAV; Machine Learning; Data Mining; Routing and Scheduling Problems; Stock Prediction and Portfolio Optimization; ICSI-Optimization Competition. .
650			_aComputational intelligence. _933958
650			_aComputational Intelligence. _933959
650			_aComputer Engineering and Networks. _933960
650			_aComputer engineering. _933961
650			_aComputer networks . _933962
650			_aComputer science _933963
650			_aComputer science. _933963
650			_aMachine learning. _933964
650			_aMachine Learning. _933965
650			_aMathematics of Computing. _933966
650			_aTheory of Computation. _933967
700			_aLuo, Wenjian. _933968
700			_aShi, Yuhui. _933969
700			_aTan, Ying. _933970
856			_uhttps://doi.org/10.1007/978-3-031-36625-3
942			_cEBK _2ddc
999			_c15435 _d15435