Reduction in the number of binary variables for inter-sample avoidance in trajectory optimizers using mixed-integer linear programming

doi:10.1002/rnc.3529

Reduction in the number of binary variables for inter-sample avoidance in trajectory optimizers using mixed-integer linear programming

2016-02-23

8

PRE

AI

R

Rubens J. M. Afonso *

R

Roberto Kawakami Harrop Galvão

K

Karl Heinz Kienitz

DOI：10.1002/rnc.3529

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This note proposes the use of a tuple encoding scheme to reduce the number of binary variables involved in trajectory optimization problems with inter-sample avoidance constraints. Copyright (c) 2016 John Wiley & Sons, Ltd.

Keywords:

inter-sample avoidance

binary variables

mixed-integer linear programming

Reduction in the number of binary variables for inter-sample avoidance in trajectory optimizers using mixed-integer linear programming

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