This paper presents a new algorithm for the evolution of artificial gene regulatory networks (GRNs), using a network distance metric for speciation and genetic similarity. The algorithm is inspired by the neuroevolution of augmenting topologies (NEAT) algorithm and demonstrates superior performance compared to standard GA and evolutionary programming across various experiments.
Jan 23, 2015
This paper explores the impact of proportional-integral control on the fitness and genetics of evolving swarms, revealing that while energy accumulation increases, so does the rate of expiration. The study highlights the importance of information quality over control force in swarm dynamics.
May 31, 2014
This study explores the impact of climate-change-related environmental variation on evolving swarms of birds, highlighting how desertification and tropicalification affect swarm dynamics, population stability, and genetic traits.
May 30, 2014
SuperDuperWalker is a framework for experiments on the evolution of locomotion, using a 3D physical simulation and a genetic algorithm to control agents. It supports an inquiry cycle for educational purposes.
Aug 3, 2005