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oai:gredos.usal.es:10366/1344032025-04-30T20:37:21Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134243

Zato Domínguez, Davinia Carolina Luis Reboredo, Ana de Bajo Pérez, Javier De Paz, Juan F. Corchado Rodríguez, Juan Manuel 2017-09-05T11:01:55Z 2017-09-05T11:01:55Z 2011 Logic Journal of the IGLP. Volumen 20 (3), pp. 570-578. Oxford University Press (OUP). 1367-0751 (Print) / 1368-9894 (Online) http://hdl.handle.net/10366/134403 Currently, the allocation of tasks is a problem in many different areas such as e-Goverment. Traditionally, the assignment is done manually; therefore it is necessary to anticipate workloads and employee characteristics. This article describes a system based on virtual organizations of agents that allows recommendations about planning of tasks to minimize the resources necessary for their accomplishment and to obtain the maximum profit. For this purpose, a hybrid artificial intelligence system with genetic algorithm, queuing theory and case-based reasoning is used to obtain an efficient distribution. The final part of the article is focused on validating the plan developed inside a case of study centered in the e-Government in order to obtain empirical results. application/pdf en Oxford University Press (OUP) Attribution-NonCommercial-NoDerivs 3.0 Unported https://creativecommons.org/licenses/by-nc-nd/3.0/ info:eu-repo/semantics/openAccess Computer Science Dynamic model of distribution and organization of activities in multi-agent systems info:eu-repo/semantics/article