The focus of this survey is on research in applying evolutionary and other metaheuristic
search algorithms to automatically generating content for games, both digital and nondigital …

Evolutionary computation is emerging as a new engineering computational paradigm, which
may significantly change the present structural design practice. For this reason, an extensive …

This chapter pursues the insight that large language models (LLMs) trained to generate
code can vastly improve the effectiveness of mutation operators applied to programs in …

Comparing, or benchmarking, of optimization algorithms is a complicated task that involves
many subtle considerations to yield a fair and unbiased evaluation. In this paper, we …

Research in neuroevolution—that is, evolving artificial neural networks (ANNs) through
evolutionary algorithms—is inspired by the evolution of biological brains, which can contain …

Procedural content generation (PCG) is an increasingly important area of technology within
modern human-computer interaction (HCI) design. Personalization of user experience via …

Natural DNA can encode complexity on an enormous scale. Researchers are attempting to
achieve the same representational efficiency in computers by implementing developmental …

A major challenge for evolutionary computation is to evolve phenotypes such as neural
networks, sensory systems, or motor controllers at the same level of complexity as found in …

We present a comprehensive review of the evolutionary design of neural network
architectures. This work is motivated by the fact that the success of an Artificial Neural …

For domains in which fitness is subjective or difficult to express formally, interactive
evolutionary computation (IEC) is a natural choice. It is possible that a collaborative process …