Generative Representations for Automated Design: Greg Hornby’s Research
Recent research in evolutionary computation has demonstrated the ability for automatic design of engineering products. Despite these results, it is not clear if stochastic search algorithms based on random variations can reach the high complexities necessary for practical design projects. The ultimate success of search algorithms as tools for design automation is critically dependent on their scaling properties. Any open-ended design problem that is based only on the direct composition of elementary building blocks grows combinatorially complex with the size of the problem. Consequently, search algorithms that encode designs directly will quickly become exponentially intractable, and not scale to complex tasks.
Link: Greg Hornby’s Research