Hybridized GP and self-adaptive DE for morphology-controller co-evolution of heterogeneous modular robots

Created by W.Langdon from gp-bibliography.bib Revision:1.7954

@InProceedings{Shun:2014:ICCST,

• author = "Chee Wei Shun and Jason Teo",
• booktitle = "International Conference on Computational Science and Technology (ICCST 2014)",
• title = "Hybridized GP and self-adaptive DE for morphology-controller co-evolution of heterogeneous modular robots",
• year = "2014",
• month = aug,
• abstract = "This paper explores the use of hybridised Genetic Programming and self-adaptive Differential Evolution algorithm to automatically design and co-evolve both the controller and morphology of heterogeneous swarm modular robots. A novel tree-based structure is proposed and implemented for the modular robot structure and ANN representation, which allows the evolutionary optimisation of the co-evolution of morphology and controller to be carried out simultaneously. Two different simulations are conducted in this paper with the aim of co-evolving the multi-branching modular robots to develop moving behaviour and the snake-like modular robots to crawl through a narrow path. The results from the simulation show the promise of this work and illustrate the importance of co-evolving both the robots' bodies as well as their controllers.",
• keywords = "genetic algorithms, genetic programming, Artificial neural networks, Biological cells, Morphology, Neurons, Robot kinematics, Servomotors, differential evolution, modular robots, tree-based structures",
• DOI = "doi:10.1109/ICCST.2014.7045185",
• notes = "Also known as \cite{7045185}",

}

Genetic Programming entries for Chee Wei Shun Jason Teo

Citations