Artificial Evolution

This book constitutes the refereed post-conference proceedings of the 15th International Conference, Évolution Artificielle, EA 2022, held in Exeter, UK, during October 31–November 2, 2022.The 15 full papers were carefully reviewed and selected from 18 submissions. The papers cover a wide range of topics in the field of artificial evolution, including, but not limited to: evolutionary computation, evolutionary optimization, coevolution, artificial life, population dynamics, theory, algorithmic and modeling, implementations.

This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Artificial Evolution, EA 2007, held in Tours, France in October 2007.
The 27 revised full papers presented were carefully reviewed and selected from 62 submissions during two rounds of reviewing and improvement. The papers cover all aspects of artificial evolution: genetic programming, swarm intelligence, combinatorial and multi-objective optimization, theory in genetic algorithms and evolutionary systems, as well as applications of evolutionary algorithms.

This book constitutes the proceedings of the 9th International Conference on Artificial Evolution, held in Strasbourg, France, in October 2009.

This post-conference proceedings volume covers all aspects of artificial evolution, including genetic programming, swarm intelligence, combinatorial and multi-objective optimization, as well as theory and applications.

Evolutionary algorithms (EAs) is now a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research. Spatially structured EAs have different properties than standard, mixing EAs. By virtue of the structured disposition of the population members they bring about new dynamical features that can be harnessed to solve difficult problems faster and more efficiently. This book describes the state of the art in spatially structured EAs by using graph concepts as a unifying theme. The models, their analysis, and their empirical behavior are presented in detail. Moreover, there is new material on non-standard networked population structures such as small-world networks.