calibrationevolutionary computationgenetic algorithmsdata-driven modelingmulti-objective optimizationEvoNNEvoDN2BioGPRobots are universal mechanical systems that are now ubiquitous in manufacturing. One of the most important properties of industrial robots is their kinematic accuracy. Robot's accuracy is ...
EvoDN2 was used together with a reference vector-based evolutionary algorithm, cRVEA, used for optimization, in order to find optimal estimates of the robot parameters. It is well known that the evalutionary algorithms are capable of dealing with noisy data from measurement. Results and ...
The term Evolutionary Algorithms (EA) is used to describe systems for solving optimization or search problems based on biological evolution. Evolutionary computation uses an iterative process based on the development and growth of the population. The population is selected in a random search where the...
Pavlidis, N., Tasoulis, O., Plagianakos, V. P., Nikiforidis, G., & Vrahatis, M. (2005). Spiking neural network training using evolutionary algorithms.Paper presented at the 19th International Joint Conference on Neural Networks,Montreal, Canada, 31 July–4 August 2005. Perez-Nieves, N...
evolutionary algorithmsThe stabile walking gait is the basis of good performance for biped soccer robot. The ZMP trajectory is optimized to improve walking stability by the simulation in Yobotics based on evolutionary algorithms. By the rules of FIRA humanoid game, penalty kick strategy and goal ...
Be**in 上传 Multi-objective Evolutionary Algorithms and Control Applications is a comprehensive book that delves into the intersection of multi-objective evolutionary algorithms and control applications. The book provides a thorough introduction to the principles, techniques, and applications of multi-...
Software and algorithms AdapterRemoval v2.2.2 Schubert et al., 2016 https://github.com/MikkelSchubert/adapterremoval ALLPATHS-LG v.52485 Gnerre et al., 2011 http://software.broadinstitute.org/allpaths-lg/blog/?page_id=12 ABySS v.2.0.2 Simpson et al., 2009 https://github.com/bcgsc/abyss...
Firstly, Section 6.1 introduces the research motivation for robot calibration. In Sect. 6.2 , we present the learning rule of an extended Kalman filter, an improved covariance matrix adaptive evolution strategy and a quadratic interpolated beetle antennae search algorithm. In addition, Section 6.3 ...
In: Proc. of the IEEE International Congress on Evolutionary Computation, San Francisco, CA, pp. 1316–1323. IEEE, Los Alamitos (2006)Heinemann, P., Streichert, F., Sehnke, F., Zell, A.: Automatic calibration of camera to world mapping in robocup using evolutionary algorithms. In: Proc...
In: Proc. of the IEEE International Congress on Evolutionary Computation, San Francisco, CA, pp. 1316–1323. IEEE, Los Alamitos (2006)Heinemann, P., Streichert, F., Sehnke, F., Zell, A.: Automatic calibration of camera to world mapping in robocup using evolutionary algorithms. In: Proc...