Multi-criteria Optimisation in the Design of Modular Homes - From Theory to Practice

Abstract

Multi-criteria optimisation searches by a genetic algorithm define a Pareto optimal front, a state in which one objective can only be improved at the expense of another. But optimisation is not a search for the best but for better -the goal is to improve performance by trading-off conflicting criteria or objectives. A live case study is the focus of this search with parameters behaving as genes and objectives as the environmental shapers of the phenotype. The genetic algorithm is an effective and powerful tool in the computational design tool box, one which can improve the design process and the fitness of its outcomes.