id: 06089856
dt: a
an: 06089856
au: Filipiak, Patryk; Michalak, Krzysztof; Lipinski, Piotr
ti: A predictive evolutionary algorithm for dynamic constrained inverse
    kinematics problems.
so: 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).
py: 2012
pu: Berlin: Springer
la: EN
cc: 
ut: evolutionary algorithm; dynamic function optimization; dynamic environment;
    inverse kinematics; time series prediction
ci: 
li: doi:10.1007/978-3-642-28942-2_55
ab: 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.
rv: