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Author Ruz, G.A.; Goles, E.
Title Learning gene regulatory networks using the bees algorithm Type
Year 2013 Publication Neural Computing & Applications Abbreviated Journal Neural Comput. Appl.
Volume 22 Issue 1 Pages 63-70
Keywords Swarm intelligence; The bees algorithm; Simulated annealing; Boolean networks; Attractors
Abstract Learning gene regulatory networks under the threshold Boolean network model is presented. To accomplish this, the swarm intelligence technique called the bees algorithm is formulated to learn networks with predefined attractors. The resulting technique is compared with simulated annealing through simulations. The ability of the networks to preserve the attractors when the updating schemes is changed from parallel to sequential is analyzed as well. Results show that Boolean networks are not very robust when the updating scheme is changed. Robust networks were found only for limit cycle length equal to two and specific network topologies. Throughout the simulations, the bees algorithm outperformed simulated annealing, showing the effectiveness of this swarm intelligence technique for this particular application.
Address [Ruz, Gonzalo A.; Goles, Eric] Univ Adolfo Ibanez, Fac Ingn & Ciencias, Santiago 2640, Chile, Email: gonzalo.ruz@uai.cl;
Corporate Author Thesis
Publisher Springer Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0941-0643 ISBN Medium
Area Expedition Conference
Notes WOS:000313062100008 Approved
Call Number UAI @ eduardo.moreno @ Serial 261
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