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\iteman{io-port 06089856}
\itemau{Filipiak, Patryk; Michalak, Krzysztof; Lipinski, Piotr}
\itemti{A predictive evolutionary algorithm for dynamic constrained inverse kinematics problems.}
\itemso{Corchado, Emilio (ed.) et al., Hybrid artificial intelligent systems. 7th international conference, HAIS 2012, Salamanca, Spain, March 28--30, 2012. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-28941-5/pbk). Lecture Notes in Computer Science 7208. Lecture Notes in Artificial Intelligence, 610-621 (2012).}
\itemab
Summary: This paper presents an evolutionary approach to the Inverse Kinematics problem. The Inverse Kinematics problem concerns finding the placement of a manipulator that satisfies certain conditions. In this paper apart from reaching the target point the manipulator is required to avoid a number of obstacles. The problem which we tackle is dynamic: the obstacles and the target point may be moving which necessitates the continuous update of the solution. The evolutionary algorithm used for this task is a modification of the Infeasibility Driven Evolutionary Algorithm (IDEA) augmented with a prediction mechanism based on the ARIMA model.
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\itemut{evolutionary algorithm; dynamic function optimization; dynamic environment; inverse kinematics; time series prediction}
\itemli{doi:10.1007/978-3-642-28942-2\_55}
\end