A Local Search Interface for Interactive Evolutionary Architectural Design

Abstract

Abstract. A designer should be able to express their intentions with a design tool. This paper describes an evolutionary design tool that enables the architect to directly interact with the encoding of designs they find aesthetically pleasing. Broadening interaction beyond simple evaluation increases the amount of feedback and bias a user can apply to the search. Increased feedback will have the effect of directing the algorithm to more fruitful areas of the search space. We conduct user trials on an interface for making localised changes to an individual and evaluate if it is capable of directing search. Examination of the locality of changes made by the users provides an insight into how they explore the search space.

Conceptual Representations for Computational Concept Creation

“…This allows the production of alternative artifacts and the learning of new models. Byrne et al (2012) evolved architectural models using grammatical evolution. Grammatical evolution is a grammar-based form of Genetic Programming (GP), replacing the parse-tree based structure of GP with a linear genome.…”

Natural Computing Algorithms

“…19.8. As a result, more predictable behaviours arose, which proved useful in improving the performance of an interactive architectural design environment [85,88]. 19.9 and 19.10 Fig.…”

Application of Interactive Genetic Algorithm based on hesitancy degree in product configuration for customer requirement

“…Byrne and colleagues applied IGA directly to the product design process, which allowed users to participate in manmachine conversation through a friendly interface and input and modify pre-existing designs. This effectively lightened the user burden of providing feedback 13 . Kowaliw and his team focused their research on how to stimulate user creativity with IGA solutions to design particularly novel and personalized products 14 .…”