000			01485naa a2200229 a 4500
003			AR-LpUFIB
005			20250311170419.0
008			230201s2012 xx r 000 0 eng d
024	8		_aDIF-M6598 _b6737 _zDIF006016
040			_aAR-LpUFIB _bspa _cAR-LpUFIB
100	1		_aLópez, Javier
245	1	0	_aVariable population MOPSO applied to medical visits
300			_a1 archivo (157,8 kB)
500			_aFormato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
520			_aMulti-objective optimization techniques are the ideal support tools for the decision-making process. They provide a set of optimal solutions for each of the significant aspects of the problem, thus summarizing the alternatives to be considered. Having a limited number of alternatives makes it easier for decision makers to perform their tasks, since they can focus their efforts towards the analysis of the available options. In this paper, the main characteristics of multi-objective optimization are summarized, and a real experience is described regarding the optimization of mobile units assignment at a health care company in Argentina using a new method based on swarm intelligence called varMOPSO.
534			_aFuzzy economic review 17(1), pp.3-14.
650		4	_aCOMPUTACIÓN EVOLUTIVA
650		4	_aOPTIMIZACIÓN
700	1		_aLanzarini, Laura Cristina
700	1		_aFernández Bariviera, Aurelio
942			_cCP
999			_c55798 _d55798