| 000 | 01535naa a2200229 a 4500 | ||
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| 003 | AR-LpUFIB | ||
| 005 | 20250311170417.0 | ||
| 008 | 230201s2012 xx o 000 0 eng d | ||
| 024 | 8 |
_aDIF-M6529 _b6668 _zDIF005949 |
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| 040 |
_aAR-LpUFIB _bspa _cAR-LpUFIB |
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| 100 | 1 | _aCorbalán, Leonardo César | |
| 245 | 1 | 0 | _aGAAP. Genetic algorithm with auxiliary populations applied to continuous optimization problems |
| 300 | _a1 archivo (154,9 KB) | ||
| 500 | _aFormato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca) | ||
| 520 | _aGenetic algorithms have been used successfully to solve continuous optimization problems. However, an early convergence to low-quality solutions is one of the most common difficulties encountered when using these strategies. In this paper, a method that combines multiple auxiliary populations with the main population of the algorithm is proposed. The role of the auxiliary populations is dual: to prevent or hinder the early convergence to local suboptimal solutions, and to provide a local search mechanism for a greater exploitation of the most promising regions within the search space. | ||
| 534 | _aInternational Conference on Information Technology Interfaces (34ª : 2012 jun. 25-28 : Cavtat, Croacia). Proceedings. IEEE, 2012, pp. 411-416 | ||
| 650 | 4 | _aOPTIMIZACIÓN | |
| 700 | 1 | _aHasperué, Waldo | |
| 700 | 1 | _aLanzarini, Laura Cristina | |
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.2498/iti.2012.0382 |
| 942 | _cCP | ||
| 999 |
_c55731 _d55731 |
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