000938377 000__ 03056cam\a2200529Ia\4500 000938377 001__ 938377 000938377 005__ 20230306151806.0 000938377 006__ m\\\\\o\\d\\\\\\\\ 000938377 007__ cr\un\nnnunnun 000938377 008__ 200725s2020\\\\sz\\\\\\o\\\\\101\0\eng\d 000938377 019__ $$a1178999203$$a1182445212$$a1182919170$$a1183929486 000938377 020__ $$a9783030539566$$q(electronic book) 000938377 020__ $$a3030539563$$q(electronic book) 000938377 020__ $$z9783030539559 000938377 0248_ $$a10.1007/978-3-030-53 000938377 035__ $$aSP(OCoLC)on1175921042 000938377 035__ $$aSP(OCoLC)1175921042$$z(OCoLC)1178999203$$z(OCoLC)1182445212$$z(OCoLC)1182919170$$z(OCoLC)1183929486 000938377 040__ $$aEBLCP$$beng$$cEBLCP$$dLQU$$dGW5XE 000938377 049__ $$aISEA 000938377 050_4 $$aQ337.3$$b.I28 2020eb 000938377 08204 $$a006.3/824$$223 000938377 1112_ $$aICSI (Conference)$$n(11th :$$d2020 :$$cOnline) 000938377 24510 $$aAdvances in swarm intelligence :$$b11th International Conference, ICSI 2020, Belgrade, Serbia, July 14-20, 2020, Proceedings /$$cYing Tan, Yuhui Shi, Milan Tuba (eds.). 000938377 2463_ $$aICSI 2020 000938377 260__ $$aCham :$$bSpringer,$$c2020. 000938377 300__ $$a1 online resource (688 pages). 000938377 336__ $$atext$$btxt$$2rdacontent 000938377 337__ $$acomputer$$bc$$2rdamedia 000938377 338__ $$aonline resource$$bcr$$2rdacarrier 000938377 4901_ $$aLecture notes in computer science ;$$v12145 000938377 4901_ $$aLNCS Sublibrary: SL 1, Theoretical Computer Science and General Issues 000938377 500__ $$aInternational conference proceedings. 000938377 500__ $$aIncludes author index. 000938377 506__ $$aAccess limited to authorized users. 000938377 520__ $$aThis book constitutes the proceedings of the 11th International Conference on Advances in Swarm Intelligence, ICSI 2020, held in July 2020 in Belgrade, Serbia. Due to the COVID-19 pandemic the conference was held virtually. The 63 papers included in this volume were carefully reviewed and selected from 127 submissions. The papers are organized in 12 cohesive topical sections as follows: Swarm intelligence and nature-inspired computing; swarm-based computing algorithms for optimization; particle swarm optimization; ant colony optimization; brain storm optimization algorithm; bacterial foraging optimization; genetic algorithm and evolutionary computation; multi-objective optimization; machine learning; data mining; multi-agent system and robotic swarm, and other applications. 000938377 588__ $$aDescription based on print version record. 000938377 650_0 $$aSwarm intelligence$$vCongresses. 000938377 7001_ $$aTan, Ying,$$d1964- 000938377 7001_ $$aShi, Yuhui. 000938377 7001_ $$aTuba, Milan,$$d1952- 000938377 77608 $$iPrint version:$$aTan, Ying$$tAdvances in Swarm Intelligence : 11th International Conference, ICSI 2020, Belgrade, Serbia, July 14-20, 2020, Proceedings$$dCham : Springer International Publishing AG,c2020$$z9783030539559 000938377 830_0 $$aLecture notes in computer science ;$$v12145. 000938377 830_0 $$aLNCS sublibrary.$$nSL 1,$$pTheoretical computer science and general issues. 000938377 852__ $$bebk 000938377 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-53956-6$$zOnline Access$$91397441.1 000938377 909CO $$ooai:library.usi.edu:938377$$pGLOBAL_SET 000938377 980__ $$aEBOOK 000938377 980__ $$aBIB 000938377 982__ $$aEbook 000938377 983__ $$aOnline 000938377 994__ $$a92$$bISE