This volume presents the proceedings of the 7th International Conference on Simulated Evolution and Learning (SEAL 2008). The conference, held in Melbourne, Australia, brought together researchers to discuss advancements in evolutionary computation and its applications. The 65 selected papers cover a range of topics including evolutionary learning, optimization, hybrid learning systems, adaptive systems, theoretical aspects of evolutionary computation, and practical real-world applications.

The proceedings of SEAL 2008 offer a snapshot of the research landscape in simulated evolution and learning as of late 2008. The collection highlights the breadth of inquiry within evolutionary computation, from theoretical underpinnings to applied solutions. The selection process, involving a review of 140 submissions, suggests a curated set of contributions representing active areas of investigation. The topics covered indicate a focus on both the mechanisms of learning within evolutionary frameworks and the practical deployment of these techniques across various domains.