Implementing flower multi-objective algorithm for selection of university academic credits

There are several factors that can influence the selection of electives in order to complete the set of credits of a course in Bachelor level. Even though this problem has been studied repeatedly by many researchers on literature, the results have not established optimal values using bio-inspired al...

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Veröffentlicht in:	2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014) S. 7 - 11
Hauptverfasser:	Ochoa, Alberto, Gonzalez, Saul, Margain, Lourdes, Padilla, Teresa, Castillo, Oscar, Melin, Patricia
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.07.2014
Schlagworte:	Artificial neural networks Bio-inspired Algorithm and Data Mining Educational institutions Flower Pollination Algorithm Intelligent Optimization MIMICs Multiobjective problem Sociology Statistics Workstations
Online-Zugang:	Volltext
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