For sophisticated reinforcement learning (RL) systems to interact usefully with real-world
environments, we need to communicate complex goals to these systems. In this work, we …

This paper emphasizes the necessity of formally bringing qualitative and quantitative criteria
of ergonomic design together, and provides a novel complementary design framework with …

Although much evidence exists to suggest that early life cycle software engineering design
is a difficult task for software engineers to perform, current computational tool support for …

Generative processes and generative design approaches are topics of continuing interest
and debate within the realms of architectural design and related fields. While they are often …

Interactive evolutionary design (IED) systems, based on interactive evolutionary algorithms,
have been the hot topic in both computer science and design recently. Due to the difference …

This research is a continuation of previous work by the authors relating to the inclusion of
aesthetic criteria within an interactive evolutionary design system. The work described …

In recent years, deep reinforcement learning (DRL) has made impressive achievements in
many fields. However, existing DRL algorithms usually require a large amount of exploration …

User fatigue is a limiting factor in interactive evolutionary design and optimization systems.
This work illustrates how user fatigue arising from repetitive evaluations can be reduced by …

Many conceptual design programs determine optimality by relying on quantifiable design
objectives such as minimizing weight and deflection. Qualitative design criteria related to …

This chapter centres around the use of interactive evolutionary computation as a search and
exploration tool for open-ended contexts in design. Such contexts are characterized by poor …