Computational morphogenesis in architecture: Structure and light as a multi-objective design/optimization problem

This paper deals with a multi-objective design/optimization problem of grid-shells, meant to evaluate, as fitness function, structural behavior together with light absorption/shading. Such performance criteria separately bring to different and divergent optimal solutions, while considered as a whole are expected to result in several equivalent or similar suboptimal shapes. With the aid of a Genetic Algorithm (GA), this multi-objective optimization problem is here performed to explore and search for suitable solutions - it becomes a design tool more than a solution one. Three benchmarks have been developed before a more complex application on an existing case study - the Esplanade in Singapore by DP Architects (DPA) and Michael Wilford & Partners (MWP). �� 2013 Taylor & Francis Group.