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Scheduling technicians and tasks through an adaptive multi-objective biased random-key genetic algorithm.

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Title: Scheduling technicians and tasks through an adaptive multi-objective biased random-key genetic algorithm.
Authors: Damm, R. B.1, rbdamm@gmail.com, Chaves, A. A.2, antonio.chaves@unifesp.br, Riveaux, J. A.1, jangel.riveaux@gmail.com, Ronconi, D. P.1, dronconi@usp.br
Source: Annals of Operations Research; Mar2025, Vol. 346 Issue 2, p945-980, 36p
Database: Applied Science & Technology Source
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  Data: <searchLink fieldCode="AU" term="%22Damm%2C+R%2E+B%2E%22">Damm, R. B.</searchLink><relatesTo>1</relatesTo>, <i>rbdamm@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Chaves%2C+A%2E+A%2E%22">Chaves, A. A.</searchLink><relatesTo>2</relatesTo>, <i>antonio.chaves@unifesp.br</i><br /><searchLink fieldCode="AU" term="%22Riveaux%2C+J%2E+A%2E%22">Riveaux, J. A.</searchLink><relatesTo>1</relatesTo>, <i>jangel.riveaux@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Ronconi%2C+D%2E+P%2E%22">Ronconi, D. P.</searchLink><relatesTo>1</relatesTo>, <i>dronconi@usp.br</i>
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  Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>; Mar2025, Vol. 346 Issue 2, p945-980, 36p
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        Value: 10.1007/s10479-024-06325-6
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        Text: English
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              Text: Mar2025
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