Guia docente 2023_24 Escola Superior de Enxeñaría Informática

Expected results from this subject

Expected results from this subject	Training and Learning Results
RA1: Know the basic concepts of evolutionary computation, of classical evolutionary algorithms and of bioinspired algorithms.	A1 A2 A3	B2 B3 B4 B5	C10 C11 C12 C15	D3 D7 D8 D9
RA2: Have the ability to design bioinspired models of complex real systems.	A1 A2 A3	B2 B3 B4 B5	C10 C11 C12 C15	D3 D7 D8 D9
RA3: Know and apply techniques based on evolutionary systems, artificial neural networks and other bioinspired models.	A1 A2 A3	B2 B3 B4 B5	C10 C11 C12 C15	D3 D7 D8 D9
RA4: Identify the appropriate data-driven solution search techniques according to the type of problem. Understand the different possibilities of combination or hybridization between global evolutionary search methods and other local search metaheuristics.	A1 A2 A3	B2 B3 B4 B5	C10 C11 C12 C15	D3 D7 D8 D9
RA5: Know different adaptive bioinspired models and handle tools and environments currently used in the field of the bioinspired algorithms.	A1 A2 A3	B2 B3 B4 B5	C10 C11 C12 C15	D3 D7 D8 D9