caa a22 4500 606159916 CHVBK 20210128100627.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s00521-015-1856-5 doi (NATIONALLICENCE)springer-10.1007/s00521-015-1856-5 A grouping biogeography-based optimization for location area planning [Elektronische Daten] [Sung-Soo Kim, Ji-Hwan Byeon, Seokcheon Lee, Hongbo Liu] Location area planning (LAP) is a combinatorial optimization grouping problem for the cellular mobile network. We propose a novel grouping biogeography-based optimization (GBBO), which has suitable migration and mutation with generating good initial habitats to partition the optimal number of location areas. The migration is to move the whole cells of location area (LA) with a randomly selected cell between habitats for emigration and immigration, while the adjacent cell mutation is carried out between LAs within one habitat. These group migration and mutation mechanisms are available to maintain the grouping conditions. This proposed GBBO helps us to obtain the optimal number of location areas and the corresponding configuration of the partitioned network. We also illustrate the GBBO approach using the small, medium, and large size problems to compare with artificial bee colony, particle swarm optimization, and previous LAP methods. The experimental results show that our novel GBBO is robust to find the best configurations of LAP with much less computation time comparing with other considered methods. The Natural Computing Applications Forum, 2015 Biogeography-based optimization (BBO) nationallicence Location area planning (LAP) nationallicence Mobile computing nationallicence Nature-inspired optimization nationallicence Kim Sung-Soo Department of System & Management Engineering, Kangwon National University, 200-701, Chunchon, Korea aut Byeon Ji-Hwan Kaiem Co., LTD, 152-780, Seoul, Korea aut Lee Seokcheon School of Industrial Engineering, Purdue University, 47907, West Lafayette, IN, USA aut Liu Hongbo Institute for Neural Computation, University of California San Diego, 92093, La Jolla, CA, USA aut Neural Computing and Applications Springer London 26/8(2015-11-01), 2001-2012 0941-0643 26:8<2001 2015 26 521 https://doi.org/10.1007/s00521-015-1856-5 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-015-1856-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Kim Sung-Soo Department of System & Management Engineering, Kangwon National University, 200-701, Chunchon, Korea aut NATIONALLICENCE 700 1- Byeon Ji-Hwan Kaiem Co., LTD, 152-780, Seoul, Korea aut NATIONALLICENCE 700 1- Lee Seokcheon School of Industrial Engineering, Purdue University, 47907, West Lafayette, IN, USA aut NATIONALLICENCE 700 1- Liu Hongbo Institute for Neural Computation, University of California San Diego, 92093, La Jolla, CA, USA aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/8(2015-11-01), 2001-2012 0941-0643 26:8<2001 2015 26 521