20.500.12556/DKUM-66220 A novel hybrid self-adaptive bat algorithm Nature-inspired algorithms attract many researchers worldwide for solving the hardest optimization problems. One of the newest members of this extensive family is the bat algorithm. To date,many variants of this algorithm have emerged for solving continuous as well as combinatorial problems. One of the more promising variants, a self-adaptive bat algorithm, has recently been proposed that enables a self-adaptation of its control parameters. In this paper, we have hybridized this algorithmusing differentDE strategies and applied these as a local search heuristics for improving the current best solution directing the swarm of a solution towards the better regions within a search space.The results of exhaustive experiments were promising and have encouraged us to invest more efforts into developing in this direction. algorithms optimization algoritmi optimizacija true false true Angleški jezik Slovenski jezik Znanstveno delo 2017-06-15 09:54:51 2017-06-15 09:55:52 2022-07-10 03:06:58 2021-05-15 03:34:25 2014 0 0 str. 1-12 Letn. 2014 2014 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 1537-744X 004.4 2607642 17789206 10.1155/2014/709738 1537-744X URN:SI:UM:DK:HDMQPFTD The_Scientific_World_Journal_2014_Fister_et_al._A_Novel_Hybrid_Self-Adaptive_Bat_Algorithm.pdf The_Scientific_World_Journal_2014_Fister_et_al._A_Novel_Hybrid_Self-Adaptive_Bat_Algorithm.pdf 1 6C2CFEA319BEB871C5E0AC62554183F6 c1ec8b60251f7f48d84e82771a41c743acda30e4411c7121ac2c197033a77150 3fb7bf12-7c0e-11eb-bb7a-00155d0001ca https://dk.um.si/Dokument.php?lang=slv&id=112584 http://www.hindawi.com/journals/tswj/2014/709738/ 1 https://dk.um.si/Dokument.php?lang=slv&id=112583 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0