Multi-objective design optimisation: getting more for less

Abstract

Multi-objective optimisation can help civil engineers achieve higher performance for lower costs in their designs. This is true whether 'performance' applies to structural strength or energy use, or whether 'cost' measures financial outlay or occupant satisfaction: if it can be quantified it can be optimised in some form. By exploring trade-offs between conflicting objectives and constraints, multi-objective optimisation enables informed decision-making. This paper outlines the principles and benefits of multi-objective optimisation and the means of implementation. The complementary aspects of parametric modelling and optimisation are discussed as an aid to the flexible design of buildings and structures. A range of real design problems are considered, including structural and environmental examples.

A grammar-based optimization approach for walkable urban fabrics considering pedestrian accessibility and infrastructure cost

“…It enables the exploration of complex search spaces while managing and prioritizing multiple objectives (Brown, 2016). While it has been used extensively in aerospace engineering, mechanical engineering, and economics for decades, forms of multi-objective optimization have recently become more common in architecture and related design fields (Brown, 2019; Cichocka et al, 2017; Coello and Romero, 2003; Evins et al, 2012; Marler and Arora, 2004).…”

Computational Design of Prefabricated Modular Homes

“…Evins et al [19] demonstrated multi-criteria optimisation for a residential project in Scotland in their search for higher performance for lower costs in housing designs. They described an optimisation of two objectives -carbon dioxide emissions and cost.…”

“…The optimisation algorithm used was NSGA-II, and the results were an optimal set of designs illustrated by a Pareto optimal front which graphically illustrated trade-offs from expensive/low carbon dioxide, to cheap/high carbon dioxide levels ( Figure 5). [19] They also described the benefits of combining optimisation with parametric design. These included: reduced time per design option trialled (although increased set-up time noted); improvements in performance for complex problems; and increased diligence in the design process.…”

Progress Towards Multi-Criteria Design Optimisation Using Designscript With Smart Form, Robot Structural Analysis and Ecotect Building Performance Analysis"

“…Progress toward the development of a multi-criteria design optimization system has recently been demonstrated during a joint research collaboration between Autodesk's DesignScript development team and the engineering consultancy Buro Happold. This research builds on the authors' previous work, including the development of domain-specific end-user programming languages (Aish 2011), the use of genetic algorithms for structural optimization (Evins, Joyce et al 2012) (Shrubshall and Fisher 2011), and the use of a physics solver to optimize geometric configuration of facade planar quads (Attar, Aish, Stam et al 2009).…”