MULTIOBJECTIVE EVOLUTIONARY DESIGN OPTIMISATION FOR DISCOVERING NEW SPECIES / OPTIMIZACIÓN DEL DISEÑO EVOLUTIVO MULTIOBJETIVO PARA EL DESCUBRIMIENTO DE NUEVAS ESPECIES

-artificial intelligence,-advanced computation,-bio design,-computational design,- data visualization,- design fiction,- environmental design,-interactive design,-material research,-neuro design,-space architecture,-structural design | - online workshop | -Spanish/English

Description:

Required Skills: Super-Basic Grasshopper knowledge

Required Software: Rhinoceros 7 Grashopper3D, WallaceiX
Maximum number of participating students: 100

EMO FOR DISCOVERING NEW SPECIES: Multiobjective Evolutionary Design Optimisation (EMO) Hacking of Architectural Projects applied to the Roof Prototype of the Center for Hydrographic Studies of Miguel Fisac

EMO PARA DESCUBRIR NUEVAS ESPECIES: Hacking de Optimización de Diseño Evolutivo Multiobjetivo (EMO) de Proyectos Arquitectónicos aplicado al Prototipo de Cubierta del Centro de Estudios Hidrográficos de Miguel Fisac

We will start creating a basic prototype whose variables will be the genes that an evolutionary algorithm will modify to satisfy several chosen objectives. During the exploration, we will discover new groups of variations defining species in a pareto optimal front from which we will extract a set of chosen ones for analysis and comparison. Comenzaremos creando un prototipo básico cuyas variables serán los genes que un algoritmo evolutivo modificará para satisfacer varios objetivos elegidos. Durante la exploración, descubriremos nuevos grupos de variaciones que definen especies en un frente óptimo de Pareto del que extraeremos un conjunto de elegidos para su análisis y comparación.

1 / 4
2 / 4
3 / 4
4 / 4

Schedule:

timezone: (GMT) Western Europe Time, London, Lisbon, Casablanca
Start timeEnd timeDescription
2022-06-28 - 16:002022-07-01 - 18:30Comenzaremos creando un prototipo básico cuyas variables serán los genes que un algoritmo evolutivo modificará para satisfacer varios objetivos elegidos. Durante la exploración, descubriremos nuevos grupos de variaciones que definen especies en un frente óptimo de Pareto del que extraeremos un conjunto de elegidos para su análisis y comparación.

Instructors:

Sergio del Castillo Tello Architect, Honors Degree and Higher Diploma from ETSAM, Technical School of Architecture in Madrid. Co-creator of MIAUTICS.com and MIAUHAUS.org, Computational Design Experts Firm. Award-wining CG Instructor and 3D Designer, Programming and Digital Fabrication expert, teaches at Technical School in Architecture Madrid, Polytechnic University ETSAM UPM, Professor of the COAM College of Architects of Madrid in the lnstitute of Education IFC. Cofounder and instructor at MIAU, Master in Advanced lnfographics and Computational Design at Polytechnic University of Madrid UPM, and other Universities and Academies such as IED (European Institute of Design), and in his own Academy Offmiau on Digital Design.

Disclaimer:
All workshops will accept 100 applications MAX.