Fitness functions in evolutionary robotics: A survey and analysis

AL Nelson, GJ Barlow, L Doitsidis - Robotics and Autonomous Systems, 2009 - Elsevier
This paper surveys fitness functions used in the field of evolutionary robotics (ER).
Evolutionary robotics is a field of research that applies artificial evolution to generate control …

Towards automatically reverse engineering vehicle diagnostic protocols

L Yu, Y Liu, P Jing, X Luo, L Xue, K Zhao… - 31st USENIX Security …, 2022 - usenix.org
In-vehicle protocols are very important to the security assessment and protection of modern
vehicles since they are used in communicating with, accessing, and even manipulating …

Robustness analysis framework for computations associated with building performance models and immersive virtual experiments

C Chokwitthaya, Y Zhu, S Mukhopadhyay - Advanced Engineering …, 2021 - Elsevier
Building performance models (BPMs) have been used to simulate and analyze building
performance during design. While extensive research efforts have made to improve the …

Exploitation of self organization in uav swarms for optimization in combat environments

DJ Nowak - 2008 - scholar.afit.edu
This investigation focuses primarily on the development of effective target engagement for
unmanned aerial vehicle (UAV) swarms using autonomous self-organized cooperative …

Evolving cooperative control on sparsely distributed tasks for UAV teams without global communication

GJ Barlow, CK Oh, SF Smith - … of the 10th annual conference on genetic …, 2008 - dl.acm.org
For some tasks, the use of more than one robot may improve the speed, reliability, or
flexibility of completion, but many other tasks can be completed only by multiple robots. This …

[图书][B] Evolved navigation control for unmanned aerial vehicles

GJ Barlow, CK Oh - 2008 - pdfs.semanticscholar.org
Whether evolutionary robotics (ER) controllers evolve in simulation or on real robots,
realworld performance is the true test of an evolved controller. Controllers must overcome …

[图书][B] Improving memory for optimization and learning in dynamic environments

GJ Barlow - 2011 - search.proquest.com
Many problems considered in optimization and artificial intelligence research are static:
information about the problem is known a priori, and little to no uncertainty about this …

Robotique évolutionniste: influence des pressions de sélection sur l'émergence d'une forme de mémoire interne

T Pinville - 2013 - theses.hal.science
La robotique évolutionniste vise à concevoir des machines capables d'apprendre
continuellement des savoir-faire nouveaux dans un monde continu, non contrôlé et …

[PDF][PDF] UAV Swarm Mission Planning Development Using Evolutionary Algorithms-Part I SCI-195

G Lamont - Accessed: Mar, 2023 - sto.nato.int
Embedding desired behaviors in autonomous vehicles is a difficult problem at best and in
general probably impossible to completely resolve in complex dynamic environments …

[图书][B] A Framework for Augmenting Building Performance Models Using Machine Learning and Immersive Virtual Environment

C Chokwitthaya - 2020 - search.proquest.com
Building performance models (BPMs), such as building energy simulation models, have
been widely used in building design. Existing BPMs are mainly derived using data from …